| { | |
| "paper_id": "M93-1028", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T03:14:33.654177Z" | |
| }, | |
| "title": "Report from the Text Analysis Techniques Topic Sessio n", | |
| "authors": [ | |
| { | |
| "first": "Robert", | |
| "middle": [ | |
| "E" | |
| ], | |
| "last": "Stumberge", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "Language Systems", | |
| "institution": "", | |
| "location": { | |
| "region": "Inc" | |
| } | |
| }, | |
| "email": "" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "", | |
| "pdf_parse": { | |
| "paper_id": "M93-1028", | |
| "_pdf_hash": "", | |
| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "Presentations in the Text Analysis Techniques session covered areas related to :", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "INTRODUCTION", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 disambiguation of temporal expressions (Lois Childs, GE/Martin Marietta) ,", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "INTRODUCTION", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 trainable correction of Japanese word segmentation (Sean Boisen, BBN) ,", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "INTRODUCTION", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 principle-based parsing (Robert Belvin, Language Systems Inc .) ,", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "INTRODUCTION", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 and disambiguating with semantic tags (Jim Cowie, NMSU) .", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "INTRODUCTION", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Lois Childs discussed GE's efforts to extract temporal expressions from text through the identification of relevant patterns . The Shogun system used 37 patterns in English, and 7 for Japanese . Patterns wer e context dependent, and referenced a dateline in order to handle relative time . The patterns were able to perform temporal calculations, and the system computed a temporal structure from reference points on th e dateline. The system was able to handle temporal references which were spread throughout a message . Thi s approach allowed the Shogun system to have a good coverage of time fills ; extensions to this approach wil l provide improved handling of ambiguous dates .", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "DISAMBIGUATING TEMPORAL EXPRESSION S", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Sean Boisen presented BBN 's work on a learning algorithm which was used to improve the performanc e of the Juman Japanese word-segmentation system provided by Kyoto University . BBN used AMED (Automatic Morphological Error Detection) as a segment correction model between Juman and BBN's POS T tagger . Using hand-produced segmentation and tagging for training purposes, the system was able to acquire transformations from tags, and learn rules for segment correction, in order to reclassify words, pu t words together, and take words apart . The system produced a chart of possible corrections . The supervised training used Treebank software . The AMED/POST combination was able to improve segmentation an d tagging performance with little data ; this approach will be extended to parsing in the future .", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "AUTOMATICALLY TRAINABLE ERROR CORRECTION O F JAPANESE SEGMENTATION AND PART-OF-SPEECH ANAL-YSIS", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Robert Belvin described the use of principle-based parsing in LSI's parser, in particular the use of principle s of grammatical theory and parsing principles (based on empirical knowledge of language) . LSI 's parser incorporates a number of features of the Government-Binding theory of syntax, including projection and thematic principles, in an essentially head-driven parser which employs bottom-up and expectation-base d characteristics . The parser is designed to be language independent, to produce syntactic structures whic h facilitate semantic processing, and to be robust enough to produce partial parses which are usable in late r semantic processing . Robert discussed the handling of empty categories, with respect to passive constructions and embedded infinitivals. Robert concluded with a discussion of the insertion of special structures as a mean s of providing a \"quick fix \" for constructions which are not completely handled by the principles which have been implemented .", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "SOME ASPECTS OF PRINCIPLE-BASED PARSING IN TH E MUC-5 TAS K", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Jim Cowie discussed experiences with NMSU's reference resolution module in their Diderot system . Th e system attempted to disambiguate text into a list of sense tokens . Disambiguation was performed in parsing and semantic tagging stages . Tagging was done using word-lists with semantic and type tags . Parsing use d tags in conjunction with co-specification patterns . Jim discussed various problems which occurred, includin g a lack of sense-tokens for Japanese, multiple-tagging problems, the need for a lexical database featurin g compound terms, the need for domain-specific markers, the need for combinatorial rules, and the need fo r negative blocking information . Future experiments will focus on the use of machine learning techniques fo r acquiring semantic tagging information and deriving semantic patterns .", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "DEALING WITH AMBIGUITY", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [], | |
| "bib_entries": {}, | |
| "ref_entries": {} | |
| } | |
| } |