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{ |
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"paper_id": "W19-0119", |
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"generated_with": "S2ORC 1.0.0", |
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"date_generated": "2023-01-19T06:33:41.934481Z" |
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}, |
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"title": "Guess Who's Coming (and Who's Going): Bringing Perspective to the Rational Speech Acts Framework \u21e4", |
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"authors": [ |
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{ |
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"first": "Carolyn", |
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"middle": [ |
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"Jane" |
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], |
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"last": "Anderson", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "University of Massachusetts", |
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"location": { |
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"addrLine": "N408 Integrative Learning Center 650 North Pleasant Street Amherst", |
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"postCode": "01003", |
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"region": "MA", |
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"country": "USA" |
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} |
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}, |
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"email": "[email protected]" |
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}, |
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{ |
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"first": "Brian", |
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"middle": [], |
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"last": "Dillon", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "University of Massachusetts", |
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"location": { |
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"addrLine": "N408 Integrative Learning Center 650 North Pleasant Street Amherst", |
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"postCode": "01003", |
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"region": "MA", |
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"country": "USA" |
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"email": "" |
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"year": "", |
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"abstract": "We present a Rational Speech Acts approach to modeling how conversation participants reason about perspectival expressions. The interpretation of perspectival expressions, such as the motion verbs come and go, depends on the point-of-view from which they are evaluated. In order to interpret a perspectival expression, the listener must jointly reason about the speaker's intended message and their choice of perspective. We propose a Bayesian approach to this inference problem and describe an extension of the Rational Speech Acts model that incorporates perspective. We lay out three sets of predictions that this model makes relating to the lexical semantics of go, the cost of non-speaker perspectives, and marginal inference over worlds.", |
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"text": "We present a Rational Speech Acts approach to modeling how conversation participants reason about perspectival expressions. The interpretation of perspectival expressions, such as the motion verbs come and go, depends on the point-of-view from which they are evaluated. In order to interpret a perspectival expression, the listener must jointly reason about the speaker's intended message and their choice of perspective. We propose a Bayesian approach to this inference problem and describe an extension of the Rational Speech Acts model that incorporates perspective. We lay out three sets of predictions that this model makes relating to the lexical semantics of go, the cost of non-speaker perspectives, and marginal inference over worlds.", |
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"section": "Abstract", |
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"text": "Recent experimental and theoretical work at the semantics/pragmatics interface has highlighted the role of perspective. Perspectival expressions are items whose meaning depends on the point-of-view from which they are interpreted. A wide range of linguistic phenomena appear sensitive to perspective, including spatial and temporal deictic expressions like on the right and tomorrow (Speas, 2000) ; pronouns (Loveland, 1984; Wechsler, 2010) ; motion verbs (Fillmore, 1975; Barlew, 2017) ; epithets and expressives (Doron, 1991; Harris, 2012) ; and logophors (Huang and Liu, 2001; Park, 2017) . \u21e4 Many thanks to Lyn Frasier, Richard Futrell, and Jesse Harris, and to our SCIL reviewers for their thoughtful feedback on this work.", |
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"start": 383, |
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"end": 396, |
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"text": "(Speas, 2000)", |
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"ref_id": "BIBREF21" |
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{ |
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"start": 408, |
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"end": 424, |
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"text": "(Loveland, 1984;", |
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"end": 440, |
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"text": "Wechsler, 2010)", |
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"ref_id": "BIBREF24" |
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{ |
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"start": 456, |
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"end": 472, |
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"text": "(Fillmore, 1975;", |
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"start": 473, |
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"end": 486, |
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"text": "Barlew, 2017)", |
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{ |
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"start": 514, |
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"end": 527, |
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"text": "(Doron, 1991;", |
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"start": 528, |
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"end": 541, |
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"text": "Harris, 2012)", |
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"start": 558, |
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"text": "(Huang and Liu, 2001;", |
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"text": "Park, 2017)", |
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"section": "Introduction", |
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"text": "Perspectival items express two kinds of information: their lexical meaning, and information about the point-of-view adopted by the speaker. Consider the sentence in (1), containing the perspectival motion verb come. Come describes motion relative to the location of a perspective holder (Fillmore, 1975) . Thus (1) conveys information about the perspective holder's location in addition to its literal meaning (that Thera is in motion to Northampton).", |
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"section": "Introduction", |
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"text": "1. Thera is coming to Northampton in an hour. In English, 1 motion verbs like come and go allow at least three kinds of perspective holders: the speaker (e.g. You are coming to my house), the listener (e.g. I am coming to your house), or the subject of an attitude verb (e.g. Thera says I am coming to her house). In order to understand who is located in Northampton, however, the listener must infer who the perspective holder is. How does she do this? That is the central question that this paper addresses. We propose to model the process of inferring a perspective holder for a perspectival expression using the Rational Speech Acts model (RSA), a framework for pragmatic modeling rooted in Bayesian inference (Frank and Goodman, 2012; Goodman and Stuhlm\u00fcller, 2013) . We extend the RSA to include the inference required to identify a perspective holder in context. In particular, we model the interpretation of perspectival utterances as inference over the joint probability of a world and a perspective given an utterance. We focus on one particular class of perspectival expressions, perspectival motion verbs, and describe the model's predictions about some of the open questions related to these verbs, including the lexical semantics of go and the existence of a cost for non-speaker perspectives. In what follows we describe the model and articulate its key predictions. We hope that our model and its predictions can guide further exploration of the role of perspective at the semantics-pragmatics interface.", |
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"text": "(Frank and Goodman, 2012;", |
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"text": "Goodman and Stuhlm\u00fcller, 2013)", |
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"section": "Introduction", |
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"text": "Perspectival motion verbs are a good test case for pragmatic modeling of perspective because there is a rich literature on the topic that provides descriptive facts to draw upon and open questions to test. We adopt a view of the lexical semantics of come and go rooted in the perspectival semantics for motion verbs described in (Barlew, 2017) . We use a lexical semantics for come consisting of two components: a motion implication, corresponding to the lexical semantics of come, and an anchoring implication, corresponding to the perspectival component, expressed in (2) in a simple event semantics.", |
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"section": "The semantics of come and go", |
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"sec_num": "1.1" |
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"text": "2. Semantics of come: 9y. [[Loc(y, d) ]] w,a = T and y is a salient perspective-holder with perspective a. The motion implication is the literal meaning of the sentence: that someone moves to the destination. The anchoring implication expresses that the destination is the location of a perspective-holder.", |
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"section": "The semantics of come and go", |
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"text": "We use a non-perspectival semantics for go: we propose that it has only a motion implication.", |
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"text": "3. Semantics of go: For any world w, perspective a, destination d, and entity x, [[Go(x, d) ]] w,a = T iff (a) Motion implication: [[9e.M ove(x, e)^Dest(d, e)]] w,a = T. There are a few key points about the meaning of these motion verbs that any model must capture:", |
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"text": "[[Go(x, d)", |
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"section": "The semantics of come and go", |
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"text": "First, come requires that a salient perspectiveholder is located at the destination. This means that come cannot be used to describe motion by the perspective-holder. If this were not so, the speaker would always be able to describe their own motion with come, regardless of the destination. 4. Context: Matilda and Hildegard are having a conversation in New York. Matilda: I've always wanted to visit Antarctica, but it's so expensive. Hildegard: I went / #came there last year. It was so cool! Second, the lexical semantics of come do not directly specify the location of the speaker or the listener, but rather the location of the perspectiveholder. Although the speaker of (1) (repeated as (5)) may be the perspective-holder (as illustrated by the speaker-oriented follow-up 5a, the listener also could be (as in the listener-oriented follow-up (5b)).", |
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"section": "The semantics of come and go", |
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"sec_num": "1.1" |
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"text": "5. Thera is coming to Northampton in an hour. (a) I wish you could come hang out too! (b) I wish I could come hang out too! This means that the listener must successfully infer the perspective-holder in order to determine the interpretation of any sentence using come.", |
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"section": "The semantics of come and go", |
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"text": "Third, although the lexical semantics of go presented here do not directly encode any anchoring implication, in practice go seems to imply motion away from the perspective holder. If (6) is interpreted from the speaker's perspective, then the listener will infer that the speaker is not located in Northampton.", |
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"section": "The semantics of come and go", |
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"text": "6. Thera is going to Northampton in an hour. The source of this anti-anchoring implication is debated. With the semantics proposed here, this implication is derived via Gricean reasoning on the part of the listener: if the perspective holder was located in Northampton, then the speaker should have used come; that she didn't implies that the perspective holder is not there (Wilkins and Hill, 1995; Sudo, 2018) . However, in other theories, go has a perspectival component (Fillmore, 1975; Oshima, 2006) .", |
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"text": "In his foundational work on pragmatics, Lewis (1979) proposed that conversation is a cooperative game between the participants, where the goal is to determine which world the participants are in. Participants work towards this goal by sharing information, which narrows the set of possible worlds that the real world might be. Information shared between the conversation participants is stored in the Common Ground, which can be viewed as the set of accepted propositions, or as the worlds compatible with those propositions.", |
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"text": "The Rational Speech Acts model is a framework for pragmatic modeling that extends this picture by proposing that the listener uses a Bayesian inference process to determine what message the speaker is trying to convey (Frank and Goodman, 2012) . In this model, the Common Ground contains not just a set of worlds, but also a probability associated with each world, the probability that it is the real world.", |
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"text": "At each turn in the conversation, the speaker selects a world from the set of worlds, simulating a new piece of information that the speaker wishes to contribute, and chooses an utterance to express it. Upon hearing the speaker's utterance, the listener must reason about the message that the speaker is trying to convey. The listener assumes that the speaker selects the sentence that maximizes the probability of the observed world.", |
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"text": "The listener interprets the sentence in order to update the probability distribution over possible worlds in the Common Ground, calculating the likelihood of each world given the sentence selected, according to their model of how the speaker picks sentences.", |
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"text": "The Rational Speech Acts model is therefore recursive. The listener's model of the speaker is called the literal speaker: the listener assumes that the speaker estimates the utility of each sentence based on a model of the listener, called the literal listener, so called because it does not involve any pragmatic reasoning. The literal listener is what the listener imagines the speaker's model of the listener to be. The listener herself is called the pragmatic listener.", |
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"text": "The Rational Speech Acts framework has been applied to a range of phenomena, including projective content (Qing et al., 2016) ; politeness (Yoon et al., 2016) ; scalar implicatures (Potts et al., 2016); and word learning (Smith et al., 2013) . Particularly relevant to the model we propose is the RSA lexical uncertainty model, which models joint reasoning over the lexicon and the speaker's message (Bergen et al., 2012; Kao et al., 2014; Bergen et al., 2016) .", |
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"text": "(Yoon et al., 2016)", |
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"text": "Although a RSA model is potentially infinitely recursive, we discuss just three levels: the literal listener, literal speaker, and pragmatic listener.", |
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"text": "For the literal listener, the posterior probability of a world given an utterance is simply the literal meaning of the utterance discounted by the prior probability of the world. The meaning of the utterance is its denotation evaluated with respect to the world. Thus, the interpretation function for an utterance is an indicator function returning 1 or 0 depending on whether the utterance is true of the world.", |
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"text": "The literal speaker is the listener's mental model of the speaker. In this model, the speaker selects a sentence in proportion to its utility, which is highest for sentences that maximize the posterior probability of the observed world according to the speaker's model of the listener (the literal listener).", |
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"text": "The pragmatic listener is the model of the actual listener. The listener reasons about the speaker's message according to their mental model of the speaker (the literal speaker). The posterior probability over a world given the speaker's utterance is proportional to the likelihood of the literal speaker selecting the utterance given the world, discounted by the listener's prior belief in the world.", |
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"text": "7. Standard RSA model (a) Literal listener:", |
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"text": "L 0 (w|m) / [[m]] w p(w) (b) Literal speaker: S 0 (m|w) / softmax(logL 0 (w|m) Cost(m)) (c) Pragmatic listener:", |
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"text": "L 1 (w|m) / S 0 (m|w)p(w) where w = world, m = message One other consideration is usually introduced into the model: the cost of the utterance. This represents the trade-off between informativity and sentence complexity: although the speaker could theoretically select an utterance that exactly isolates the observed world, as the size of the set of possible worlds increases, the complexity of this utterance also increases. In practice, people often select a simpler, less informative utterance rather than a maximally informative but more complex utterance. The RSA model encodes this as a cost that penalizes the utility for more complex utterances at the level of the literal speaker, for some definition of complexity. A common cost function is the length of the sentence, although syntactic complexity or processing complexity can also be considered.", |
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"text": "There are three factors important in defining a RSA model: the set of possible worlds, the set of utterances, and the priors over the worlds. Changes to each of these affect the competition between utterances and the outcome of the inference process. In general, a uniform distribution over the possible worlds is used, simulating the empty Common Ground at the beginning of a conversation. 2", |
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"sec_num": "2.2" |
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"text": "What about perspectival expressions? In recent work, Roberts (2015) proposes that the Common Ground tracks a set of salient perspectives along with the set of worlds. Perspectival expressions, like come, are interpreted not just with respect to a world, but also with respect to a perspective.", |
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"section": "The pragmatics of perspective", |
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"sec_num": "3" |
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"text": "In this view, a perspective is a set of centered worlds: a set of pairs consisting of a world in which the perspective-holder's beliefs are true and the spatio-temporal slice of that world that the perspective-holder self-identifies with (Stalnaker, 2014). Intuitively, a perspective can be seen as a variable assignment that picks out the individual in each world who the perspective-holder believes themself to be. A perspectival expression is like an expression with a free variable: it cannot be interpreted unless the perspective-holder is known.", |
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"text": "If the Common Ground is used to track salient perspectives as well as worlds, then the same inference mechanisms that track the probabilities of worlds in the Common Ground can be extended to track the probabilities of the perspectives. Here we propose just such an extension.", |
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"section": "The pragmatics of perspective", |
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"sec_num": "3" |
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"text": "We introduce the Perspectival Rational Speech Acts model, which incorporates perspective into the RSA framework. Building on Roberts (2015), we propose that conversation participants track probabilities over the set of perspectives in order to reason about the interpretation of sentences. As in the standard RSA model, the listener infers the probability of the speaker's message by reasoning about the likelihood of each sentence given the message and the prior probabilities over worlds. For perspecti-val expressions, however, the listener must also infer the probability of speaker adopting a certain perspective. Therefore, in the perspectival RSA, the listener infers a joint probability: the probability of a paired world and perspective given the utterance. This models how listeners extract information about both the speaker's perspective and their message from sentences containing perspectival items.", |
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"section": "A perspectival extension to the RSA", |
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"sec_num": "3.1" |
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"text": "The Perspectival RSA model advances the hypothesis that listeners interpret utterances not with respect to a single perspective, but by considering multiple perspectives simultaneously, each weighted by its probability in context. In this, our model departs from much previous work on the perspective in discourse, which implicitly assumes that listeners interpret utterances with respect to a single perspective (Harris, 2012; Kaiser, 2015; Roberts, 2015) .", |
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"cite_spans": [ |
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{ |
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"start": 413, |
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"end": 427, |
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"text": "(Harris, 2012;", |
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{ |
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"start": 428, |
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"end": 441, |
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"text": "Kaiser, 2015;", |
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"ref_id": "BIBREF10" |
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"start": 442, |
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"end": 456, |
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"text": "Roberts, 2015)", |
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"section": "A perspectival extension to the RSA", |
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"sec_num": "3.1" |
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"text": "In the Perspectival RSA model, the literal listener reasons about the probability of a world given the utterance and the perspective. That is, in the speaker's model of the listener, the listener has access to the chosen perspective. The posterior probability of the world is proportional to the utterance's truth value with respect to the world and perspective, times the prior probability of the world given the perspective.", |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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}, |
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{ |
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"text": "8. Perspectival RSA model (preliminary) (a) Literal listener:", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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}, |
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{ |
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"text": "L 0 (w|m, a) / [[m]] w,a p(w|a) (b) Literal speaker:", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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}, |
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{ |
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"text": "S 0 (m|w, a) / softmax(logL 0 (w|m, a) Cost(m)) 3 (c) Pragmatic listener:", |
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"cite_spans": [], |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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{ |
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"text": "L 1 (w, a|m) / S 0 (m|w, a)p(w, a) where w = world, m = message, a = perspective The literal speaker selects an utterance that maximizes the utility of the observed world according to the speaker's model of the listener, minus the cost of the message (we return to this below). The speaker observes a world, samples a perspective from the set of perspectives, and selects an utterance accordingly.", |
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"cite_spans": [], |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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}, |
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{ |
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"text": "The pragmatic listener calculates joint probabilities for worlds and perspectives based on the utterance that the speaker selects. The joint posterior they infer is proportional to the likelihood of the utterance given the world and perspective, according to the listener's model of the speaker, times the prior joint probability of the world and perspective.", |
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"section": "The perspectival RSA model", |
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"sec_num": "3.2" |
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{ |
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"text": "Above we showed that the inference in our model relies on the joint prior over world / perspective pairs. However, we make an independence assumption in order to simplify the calculation and assume that the prior probability of a world is independent of the prior probability of the perspective.", |
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"cite_spans": [], |
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"section": "Independence assumption", |
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"sec_num": "3.3" |
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}, |
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{ |
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"text": "9. Perspectival RSA model (intermediate) (a) Literal listener:", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Independence assumption", |
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"sec_num": "3.3" |
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}, |
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{ |
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"text": "L 0 (w|m, a) / [[m]] w,a p(w) (b) Literal speaker:", |
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"cite_spans": [], |
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"section": "Independence assumption", |
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"sec_num": "3.3" |
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{ |
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"text": "S 0 (m|w, a) / softmax(logL 0 (w|m, a) Cost(m)) (c) Pragmatic listener:", |
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"cite_spans": [], |
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"section": "Independence assumption", |
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"sec_num": "3.3" |
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}, |
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{ |
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"text": "L 1 (w, a|m) / S 0 (m|w, a)p(w)p(a) where w = world, m = message, a = perspective", |
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"section": "Independence assumption", |
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"sec_num": "3.3" |
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}, |
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{ |
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"text": "In addition to the utterance cost included in the standard RSA, we introduce a perspective cost. The perspective cost function penalizes non-speaker perspectives. 4 We use it to explore the idea that the default perspective is that of the speaker. This idea has been widely discussed in the previous literature on perspective. In theoretical work, Roberts (2015) posits that in the absence of explicit cues to the contrary, the listener always assumes that the speaker is adopting their own perspective. In experimental work, Harris (2012) and Kaiser (2015) find a strong preference for interpreting expressives, epithets, and other perspectival content from the speaker's perspective, in the absence of explicit cues otherwise. 5 10. Perspectival RSA model (final) 4 We use this parameter instead of manipulating the priors on perspectives because we intend to model effects of discourse salience through the perspective priors in future work. The idea is that as perspective holders are mentioned more frequently, the probability of adopting their perspectives increases. By contrast, the cost of adopting non-speaker perspectives should remain fixed over a discourse, since it reflects the cognitive difficulty in accomodating a non-speaker perspective.", |
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"start": 348, |
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"end": 362, |
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"text": "Roberts (2015)", |
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"ref_id": "BIBREF19" |
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{ |
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"start": 729, |
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"end": 730, |
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"text": "5", |
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "5 Note, however, that these experiments used written statements where the listener was not explicit, unlike our contexts.", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "(a) Literal listener:", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "L 0 (w|m, a) / [[m]] w,a p(w) (b) Literal speaker:", |
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"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "S 0 (m|w, a) / softmax(logL 0 (w|m, a) Cost(m) Cost(a)) (c) Pragmatic listener:", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "L 1 (w, a|m) / S 0 (m|w, a)p(w)p(a) where w = world, m = message, a = perspective In Section 5.2, we discuss the impact that this parameter has on the model's predictions.", |
|
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"section": "The cost of a perspective", |
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"sec_num": "3.4" |
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}, |
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{ |
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"text": "One important part of our model is the set of perspective holders that listeners track. In the Roberts (2015) view of perspective, the speaker and listener perspectives are automatically entered into the Common Ground and attitude holder perspectives are entered whenever an attitude verb is used.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Probabilities over perspectives", |
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"sec_num": "3.5" |
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}, |
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{ |
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"text": "Another possibility would be to introduce a new perspective whenever a new entity possessing a mental state is added to the Common Ground. We plan to test the effect of different methods for introducing perspective holders in future work.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Probabilities over perspectives", |
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"sec_num": "3.5" |
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}, |
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{ |
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"text": "We adopt a uniform prior over perspective holders for the moment. However, exploring different priors on perspectives might shed light on the topic of perspective maintenance. There is experimental evidence that listeners prefer to posit a coherent perspective over multiple utterances by the same speaker (Harris, 2012) . This Maintain Perspective principle might be modeled well by a Dirichlet prior on perspectives, which would lead to a gradual increase in the probability of perspectives based on how frequently they are adopted by the speaker.", |
|
"cite_spans": [ |
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{ |
|
"start": 306, |
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"end": 320, |
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"text": "(Harris, 2012)", |
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"ref_id": "BIBREF8" |
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} |
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], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Probabilities over perspectives", |
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"sec_num": "3.5" |
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}, |
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{ |
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"text": "To explore the predictions of the perspectival RSA model, we define toy sets of utterances and worlds.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "An example", |
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"sec_num": "4" |
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}, |
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{ |
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"text": "We consider a set of worlds with just three entities: Sarah, the speaker; Lydia, the listener, and Thera, a third party who is not involved in the conversation.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Perspective holders", |
|
"sec_num": "4.1" |
|
}, |
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{ |
|
"text": "Although our model extends to attitude-holder perspectives, we simplify our example by considering only the speaker and listener perspectives. We adopt a uniform prior over the perspective set. ", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Perspective holders", |
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"sec_num": "4.1" |
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}, |
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{ |
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"text": "We demonstrate our model with a small set of worlds containing three individuals, Sarah, Lydia, and Thera; and two locations: Northampton (Noho) and Amherst. Since we are not considering Thera in the perspective set, we omit Thera's location. We include just the worlds in which exactly one person is moving, for a total of eight worlds (Fig.1) . We use a uniform prior distribution over the worlds.", |
|
"cite_spans": [], |
|
"ref_spans": [ |
|
{ |
|
"start": 337, |
|
"end": 344, |
|
"text": "(Fig.1)", |
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"ref_id": "FIGREF1" |
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} |
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], |
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"eq_spans": [], |
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"section": "Worlds", |
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"sec_num": "4.2" |
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}, |
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{ |
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"text": "We consider two sentence frames: X is going to Northampton and X is coming to Northampton, where X represents any of the individuals, for a total of 6 utterances (Fig. 1) . One of the uses of our model is as a framework for testing the effects of different lexical semantics for come and go: we choose the relatively simple denotations in Section 1.1 for the sake of illustrating the model, but other semantics for come and go could be substituted.", |
|
"cite_spans": [], |
|
"ref_spans": [ |
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{ |
|
"start": 162, |
|
"end": 170, |
|
"text": "(Fig. 1)", |
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"ref_id": "FIGREF1" |
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} |
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], |
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"eq_spans": [], |
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"section": "Utterances", |
|
"sec_num": "4.3" |
|
}, |
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{ |
|
"text": "We implemented our model in the WebPPL programming language (Goodman and Stuhlm\u00fcller, 2014). Using the worlds and utterances described above, we ran simulations to generate predictions about the probabilities of world/perspective pairs inferred by the listener. For each result reported, we ran 100,000 iterations of Markov Chain Monte Carlo sampling; we explored settings of {0,0.25,0.5,0.75,1.0} for perspective cost.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Model predictions", |
|
"sec_num": "5" |
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}, |
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{ |
|
"text": "Our key results are: (1) perspectival interpreta-tions of go can arise through pragmatic competition even if the lexical semantics of go are not perspectival;", |
|
"cite_spans": [], |
|
"ref_spans": [], |
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"eq_spans": [], |
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"section": "Model predictions", |
|
"sec_num": "5" |
|
}, |
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{ |
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"text": "(2) the likelihood of non-speaker perspectives increases proportionally as the perspective cost is decreased; and (3) listeners should favor worlds that are consistent with multiple perspectives.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Model predictions", |
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"sec_num": "5" |
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}, |
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{ |
|
"text": "Our model shows how perspectival usage of go can arise through pragmatic competition with come even if the lexical semantics of go are not perspectival. Wilkins and Hill (1995) posit that at least in some languages, the interpretation of go as 'motion away from the perspective holder' is not lexically encoded, but arises through pragmatic reasoning, and Sudo (2018) proposes that Gricean reasoning is responsible for the interpretation of English go. Our model verifies these theoretical proposals by showing that the perspectival interpretation of go can indeed arise solely through pragmatic competition with come. As shown in Fig. 2 , our pragmatic listener infers that for sentences with go, the perspectival holder is unlikely to be at the destination of motion-even though our lexical semantics for go are not perspectival.", |
|
"cite_spans": [ |
|
{ |
|
"start": 153, |
|
"end": 176, |
|
"text": "Wilkins and Hill (1995)", |
|
"ref_id": "BIBREF25" |
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}, |
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{ |
|
"start": 356, |
|
"end": 367, |
|
"text": "Sudo (2018)", |
|
"ref_id": "BIBREF23" |
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} |
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], |
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"ref_spans": [ |
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{ |
|
"start": 631, |
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"end": 637, |
|
"text": "Fig. 2", |
|
"ref_id": "FIGREF2" |
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} |
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], |
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"eq_spans": [], |
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"section": "Competition between come and go", |
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"sec_num": "5.1" |
|
}, |
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{ |
|
"text": "For the go sentences, world / perspective pairs where come is a viable alternative, such as when the perspective holder is the listener and the listener is at the destination of motion, are less likely than ones where come is not a possible alternative.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
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"eq_spans": [], |
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"section": "Competition between come and go", |
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"sec_num": "5.1" |
|
}, |
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{ |
|
"text": "Thus, even without a perspectival lexical semantics, go acquires an interpretation that the perspective holder is unlikely to be at the destination. ", |
|
"cite_spans": [], |
|
"ref_spans": [], |
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"eq_spans": [], |
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"section": "Competition between come and go", |
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"sec_num": "5.1" |
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}, |
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{ |
|
"text": "Another set of predictions relates to the perspective cost parameter. As the cost for non-speaker perspectives increases, the likelihood of a non-speaker perspective decreases. Because our cost function only assigns cost to non-speaker perspectives, with a uniform prior over perspectives, a non-speaker perspective will only be more likely than the speaker perspective when the speaker perspective is excluded by the lexical semantics of the sentence.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of perspective shift", |
|
"sec_num": "5.2" |
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}, |
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{ |
|
"text": "In our set of utterances, this occurs only with I am coming to Northampton, where the speaker perspective is excluded by the lexical semantics of 'come', since the speaker is moving (a person cannot be both in motion and at the destination of motion). For this sentence, the listener will infer with probability 1.0 that the perspective is the listener's (Lydia) and the world is the one in which Lydia is in Northampton.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "The cost of perspective shift", |
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"sec_num": "5.2" |
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}, |
|
{ |
|
"text": "Although decreasing in probability as perspective cost increases, the listener perspective remains possible for all sentences but You are coming to Northampton, where the listener perspective is eliminated because she is in motion. In this case, the speaker perspective is inferred with probability 1.0.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
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"section": "The cost of perspective shift", |
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"sec_num": "5.2" |
|
}, |
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{ |
|
"text": "For a third-party mover, the listener perspective is as likely as the speaker perspective only when the perspective cost for non-speakers is set to zero. As the speaker cost increases, the listener perspective becomes proportionally less likely (Fig. 3) .", |
|
"cite_spans": [], |
|
"ref_spans": [ |
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{ |
|
"start": 245, |
|
"end": 253, |
|
"text": "(Fig. 3)", |
|
"ref_id": "FIGREF3" |
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} |
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], |
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"eq_spans": [], |
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"section": "The cost of perspective shift", |
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"sec_num": "5.2" |
|
}, |
|
{ |
|
"text": "For the go sentences, both perspectives are always valid possibilities, since go does not have a perspectival component. For these sentences, the likelihood of the speaker perspective increases proportionally as the speaker cost is increased (Fig. 5) .", |
|
"cite_spans": [], |
|
"ref_spans": [ |
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{ |
|
"start": 242, |
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"end": 250, |
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"text": "(Fig. 5)", |
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"ref_id": "FIGREF5" |
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} |
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], |
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"eq_spans": [], |
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"section": "The cost of perspective shift", |
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"sec_num": "5.2" |
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}, |
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{ |
|
"text": "Although the perspective cost parameter can be used to explore whether there is a processing cost for adopting non-speaker perspectives, since the cost is part of the listener's model of the speaker, it can also be used to explore the listener's beliefs about the speaker. If the listener believes that a particular speaker is more or less likely to adopt non-speaker perspectives, the listener may adjust the perspective cost parameter accordingly (for instance, if the speaker has higher rank than the listener; or limited knowledge of the listener's location).", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"section": "The cost of perspective shift", |
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"sec_num": "5.2" |
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}, |
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{ |
|
"text": "As mentioned above, one novel claim of our model is that listeners consider multiple perspectives at once when they interpret utterances. This contrasts with proposals that the default perspective holder is the speaker (Roberts, 2015) , or that listeners process sentences using the most recent perspective, as Harris's Maintain Perspective proposal posits (2012).", |
|
"cite_spans": [ |
|
{ |
|
"start": 219, |
|
"end": 234, |
|
"text": "(Roberts, 2015)", |
|
"ref_id": "BIBREF19" |
|
} |
|
], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "Marginal inference", |
|
"sec_num": "5.3" |
|
}, |
|
{ |
|
"text": "Harris's Maintain Perspective principle is motivated by evidence that perspective shift is cogni- tively difficult and incurs a high processing cost. He posits that listeners avoid perspective shift by processing a sentence with the last-used perspective, and only shifting perspective when motivated by sufficient contextual evidence (2012). By contrast, our proposal posits that listeners are always weighing multiple perspectives, and that they calculate the meaning of the sentence relative to each perspective as they interpret the sentence. Considering multiple perspectives leads to a different marginal distribution over worlds than if the listener tracks just one perspective at a time.", |
|
"cite_spans": [], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Marginal inference", |
|
"sec_num": "5.3" |
|
}, |
|
{ |
|
"text": "To see this, consider the model's predictions for Thera is coming to Northampton when speaker cost is 0.5 (Fig. 4) .The marginal distribution favors the world where both the speaker and listener are located at the destination. Although we present Fig. 4 as an example, this is true regardless of the parameter settings, so long as there is a non-zero chance that the listener is the perspective holder.", |
|
"cite_spans": [], |
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"ref_spans": [ |
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{ |
|
"start": 106, |
|
"end": 114, |
|
"text": "(Fig. 4)", |
|
"ref_id": "FIGREF4" |
|
}, |
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{ |
|
"start": 247, |
|
"end": 254, |
|
"text": "Fig. 4", |
|
"ref_id": "FIGREF4" |
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} |
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], |
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"section": "Marginal inference", |
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"sec_num": "5.3" |
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}, |
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{ |
|
"text": "On the other hand, if the listener interprets the sentence relative to just one perspective (say, the speaker's), she would have no reason to prefer the world in which both the speaker and listener are at the destination over the world in which just the speaker is there (assuming other contextual factors, like the plausibility of conversations taking place between two people in the same location, are held steady). All worlds in which the speaker is located at the destination would be equally likely.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "Marginal inference", |
|
"sec_num": "5.3" |
|
}, |
|
{ |
|
"text": "In this way, the 'multiple perspectives' hypothesis predicts that listeners will prefer to interpret Thera is coming to Northampton as conveying a message that is true for all salient perspectives; models that pick a single perspective to interpret the sentence do not. We plan to test this in an experiment where speakers are presented with perspectival sentences like Thera is coming to Northampton and non-perspectival equivalents like Thera is driving to Northampton 6 , and are asked to choose the most likely scenario for each sentence from a set of pictures. If listeners perform the kind of pragmatic inference that we propose, they should prefer the world in which both possible perspective holders are at the destination in the perspectival condition.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "Marginal inference", |
|
"sec_num": "5.3" |
|
}, |
|
{ |
|
"text": "We have outlined an extension to the Rational Speech Acts model in which the listener jointly reasons about the likelihood of the speaker's utterance and the adopted perspective. This model provides a framework for exploring the effects of various cost functions, priors, and lexical semantics for perspec- tival items. We have described some of the predictions that our model makes for one kind of perspectival expression, perspectival motion verbs; we hope the model that we have outlined can serve as a useful framework for generating testable predictions about other kinds of perspectival expressions as well.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "Conclusion", |
|
"sec_num": "6" |
|
}, |
|
{ |
|
"text": "The set of licit perspective holders is a point of crosslinguistic variation: see(Gathercole, 1987) and(Nakazawa, 2007;Nakazawa, 2009) for cross-linguistic work on the topic.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "", |
|
"sec_num": null |
|
}, |
|
{ |
|
"text": "Proceedings of the Society for Computation in Linguistics (SCiL) 2019, pages 185-194. New York City, New York, January 3-6, 2019", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "", |
|
"sec_num": null |
|
}, |
|
{ |
|
"text": "However, in actual conversations, the initial Common Ground may include world knowledge that the speaker and listener have not explicitly mentioned, but are likely to agree upon.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "", |
|
"sec_num": null |
|
}, |
|
{ |
|
"text": "Thanks to Reviewer 1 for pointing out the need for the log term.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "", |
|
"sec_num": null |
|
}, |
|
{ |
|
"text": "In order to control for the possibility that situations where the speaker and the listener are together may be more likely.", |
|
"cite_spans": [], |
|
"ref_spans": [], |
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"eq_spans": [], |
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"section": "", |
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"sec_num": null |
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} |
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], |
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"back_matter": [], |
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"FIGREF0": { |
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"text": "For any world w, perspective a, destination d, and entity x, [[Come(x, d)]] w,a = T iff (a) Motion implication: [[9e.M ove(x, e)^Dest(d, e)]] w,a = T (b) Anchoring implication:", |
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}, |
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"FIGREF1": { |
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"type_str": "figure", |
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"uris": null, |
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}, |
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"FIGREF2": { |
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"uris": null, |
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"text": "Model predictions for Thera is going to Northampton and Thera is coming to Northampton, speaker cost = 0.5", |
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}, |
|
"FIGREF3": { |
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"type_str": "figure", |
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"uris": null, |
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"text": "Model predictions for Thera is coming to Northampton at varying levels of speaker cost.", |
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"num": null |
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}, |
|
"FIGREF4": { |
|
"type_str": "figure", |
|
"uris": null, |
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"text": "Non-zero posterior probabilities for Thera is coming to Northampton, speaker cost = 0.5", |
|
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}, |
|
"FIGREF5": { |
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"type_str": "figure", |
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"uris": null, |
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"text": "Model predictions for go sentences at varying levels of speaker cost.", |
|
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|
} |
|
} |
|
} |
|
} |