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| "abstract": "Welcome to the 2nd Workshop on Computational Approaches to Discourse, CODI 2021! CODI is intended to provide a venue for researchers working on all aspects of discourse. Our aim is to provide a venue for the entire discourse processing community where we can present and exchange our theories, algorithms, software, datasets, and tools. The workshop consists of invited talks, contributed paper and demo presentations, and discussion sessions. We received paper submissions that span a wide range of topics, addressing issues related to discourse representation and parsing, anaphora and coreference resolution, dialogue, applications, and more. As the workshop is hybrid this year, papers are presented live either in person or remotely and discussed during live Q&A sessions. There will also be prerecorded videos available. We are happy that CODI 2021 features two shared tasks. The CODI-CRAC 2021 shared task on anaphora, bridging, and discourse deixis resolution in dialogue is a joint shared task between the CODI and CRAC workshops at EMNLP. This shared task goes beyond previous ones as its input is transcribed spoken dialogue, and in that it includes anaphoric relations beyond coreference. This effort is spearheaded by Carolyn Ros\u00e9. The DISRPT 2021 shared task continues a series of successful DISRPT shared tasks on discourse segmentation, relation classification and connective detection. The organization team is led by Amir Zeldes. As we hope that the next CODI workshops will also feature shared tasks and other special events, the workshop also includes a discussion on future shared tasks, special sessions on discourse representation and parsing, coreference resolution, and multilingual discourse processing. We thank our invited speakers, Jackie Chi Kit Cheung, McGill University, who works on language understanding and question answering in context, and Vera Demberg, Saarland University, who works on computational and cognitive models of text generation and understanding. We would also like to thank our reviewers for their thoughtful and instructive comments. They helped us to prepare an inclusive workshop program. Finally we would like to thank the EMNLP 2021 workshop chairs Parisa Kordjamshidi and Minlie Huang who organized the EMNLP workshop program under very challenging circumstances.", | |
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| "text": "Welcome to the 2nd Workshop on Computational Approaches to Discourse, CODI 2021! CODI is intended to provide a venue for researchers working on all aspects of discourse. Our aim is to provide a venue for the entire discourse processing community where we can present and exchange our theories, algorithms, software, datasets, and tools. The workshop consists of invited talks, contributed paper and demo presentations, and discussion sessions. We received paper submissions that span a wide range of topics, addressing issues related to discourse representation and parsing, anaphora and coreference resolution, dialogue, applications, and more. As the workshop is hybrid this year, papers are presented live either in person or remotely and discussed during live Q&A sessions. There will also be prerecorded videos available. We are happy that CODI 2021 features two shared tasks. The CODI-CRAC 2021 shared task on anaphora, bridging, and discourse deixis resolution in dialogue is a joint shared task between the CODI and CRAC workshops at EMNLP. This shared task goes beyond previous ones as its input is transcribed spoken dialogue, and in that it includes anaphoric relations beyond coreference. This effort is spearheaded by Carolyn Ros\u00e9. The DISRPT 2021 shared task continues a series of successful DISRPT shared tasks on discourse segmentation, relation classification and connective detection. The organization team is led by Amir Zeldes. As we hope that the next CODI workshops will also feature shared tasks and other special events, the workshop also includes a discussion on future shared tasks, special sessions on discourse representation and parsing, coreference resolution, and multilingual discourse processing. We thank our invited speakers, Jackie Chi Kit Cheung, McGill University, who works on language understanding and question answering in context, and Vera Demberg, Saarland University, who works on computational and cognitive models of text generation and understanding. We would also like to thank our reviewers for their thoughtful and instructive comments. They helped us to prepare an inclusive workshop program. Finally we would like to thank the EMNLP 2021 workshop chairs Parisa Kordjamshidi and Minlie Huang who organized the EMNLP workshop program under very challenging circumstances.", | |
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| "title": ":20 Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages Tillmann", | |
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| "year": 2021, | |
| "venue": ":05 Improving Multi-Party Dialogue Discourse Parsing via Domain Integration Zhengyuan Liu and Nancy Chen 18:05-18:15 discopy: A Neural System for Shallow Discourse Parsing Ren\u00e9 Knaebel Nov", | |
| "volume": "15", | |
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| "pages": "0--17", | |
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| "raw_text": "Nov. 10, 2021 (continued) 11:45-12:00 Visioning Discussion and Next Steps 12:00-13:30 Lunch Break 13:30-14:30 Invited Talk Keeping Track of Entities Over Time, Minds, and Knowledge Sources Jackie Chi Kit Cheung 14:30-14:45 Mini Break 14:45-15:45 Pragmatics and Applications 14:45-15:00 \"I'll be there for you\": The One with Understanding Indirect Answers Cathrine Damgaard, Paulina Toborek, Trine Eriksen and Barbara Plank 15:00-15:10 Improving Text Generation via Neural Discourse Planning Alexander Chernyavskiy and Dmitry Ilvovsky 15:10-15:25 Developing Conversational Data and Detection of Conversational Humor in Telugu Vaishnavi Pamulapati and Radhika Mamidi 15:25-15:35 Investigating non lexical markers of the language of schizophrenia in spontaneous conversations Chuyuan Li, Maxime Amblard, Chlo\u00e9 Braud, Caroline Demily, Nicolas Franck and Michel Musiol 15:35-15:45 Discourse-Driven Integrated Dialogue Development Environment for Open- Domain Dialogue Systems Denis Kuznetsov, Dmitry Evseev, Lidia Ostyakova, Oleg Serikov, Daniel Kornev and Mikhail Burtsev x Nov. 10, 2021 (continued) 15:50-16:15 Anaphora and Coreference 15:50-16:00 Coreference Chains Categorization by Sequence Clustering Silvia Federzoni, Lydia-Mai Ho-Dac and C\u00e9cile Fabre 16:00-16:15 Resolving Implicit References in Instructional Texts Talita Anthonio and Michael Roth 16:15-16:45 Coffee Break 16:45-18:15 Discourse Relations 16:45-17:00 A practical perspective on connective generation Frances Yung, Merel Scholman and Vera Demberg 17:00-17:15 Semi-automatic discourse annotation in a low-resource language: Developing a connective lexicon for Nigerian Pidgin Marian Marchal, Merel Scholman and Vera Demberg 17:15-17:30 Comparison of methods for explicit discourse connective identification across vari- ous domains Merel Scholman, Tianai Dong, Frances Yung and Vera Demberg 17:30-17:40 A Novel Corpus of Discourse Structure in Humans and Computers Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Bjorn Sandstede and Steven A. Sloman 17:40-17:55 Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits Zheng Zhao and Bonnie Webber 17:55-18:05 Improving Multi-Party Dialogue Discourse Parsing via Domain Integration Zhengyuan Liu and Nancy Chen 18:05-18:15 discopy: A Neural System for Shallow Discourse Parsing Ren\u00e9 Knaebel Nov. 11, 2021 09:00-10:00 Invited Talk Inter annotator agreement in discourse annotation -the role of domain knowledge and individual differences Vera Demberg 10:25-11:15 Discourse and Multilinguality 10:25-10:35 Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces Ekaterina Lapshinova-Koltunski, Heike Przybyl and Yuri Bizzoni 10:35-10:50 Capturing document context inside sentence-level neural machine translation mod- els with self-training Elman Mansimov, G\u00e1bor Melis and Lei Yu 10:50-11:05 DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Seg- mentation and Parsing Zhengyuan Liu, Ke Shi and Nancy Chen 11:05-11:15 Visualizing Cross-Lingual Discourse Relations in Multilingual TED Corpora Zae Myung Kim, Vassilina Nikoulina, Dongyeop Kang, Didier Schwab and Laurent Besacier 11:15-12:00 Discussion and Closing of Main CODI Workshop 12:00-13:30 Lunch Break Nov. 11, 2021 (continued) 13:30-15:30 DISRPT 2021 Shared Task Session 1 13:30-13:45 The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Con- nective Detection, and Relation Classification Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, Philippe Muller, Chlo\u00e9 Braud and Sonia Badene 13:50-14:20 A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives Sahil Bakshi and Dipti Misra Sharma 14:20-14:50 Multi-lingual Discourse Segmentation and Connective Identification: MELODI at DISRPT2021 Morteza Ezzabady, Philippe Muller, and Chlo\u00e9 Braud 14:50-15:20 Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages Tillmann D'onicke 15:30-16:00 Coffee Break 16:00-17:30 DISRPT 2021 Shared Task Session 2 16:00-16:30 A Unified Approach to Discourse Relation Classification in nine Languages Hanna Varachkina and Franziska Pannach 16:30-17:00 DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmenta- tion, Classification, and Connective Detection Luke Gessler, Shabnam Behzad, Yang Janet Liu, Siyao Peng, Yilun Zhu, Amir Zeldes 17:00-17:15 Closing Remarks", | |
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| "content": "<table><tr><td>Investigating non lexical markers of the language of schizophrenia in spontaneous conversations</td></tr><tr><td>Chuyuan Li, Maxime Amblard, Chlo\u00e9 Braud, caroline demily, Nicolas Franck and Michel Musiol</td></tr><tr><td>20</td></tr><tr><td>Discourse-Driven Integrated Dialogue Development Environment for Open-Domain Dialogue Systems</td></tr><tr><td>Denis Kuznetsov, Dmitry Evseev, Lidia Ostyakova, Oleg Serikov, Daniel Kornev and Mikhail Burt-</td></tr><tr><td>sev . Visualizing</td></tr></table>", | |
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| "text": "\"I'll be there for you\": The One with Understanding Indirect Answers Cathrine Damgaard, Paulina Toborek, Trine Eriksen and Barbara Plank . . . . . . . . . . . . . . . . . . . . . . . 1 Developing Conversational Data and Detection of Conversational Humor in Telugu Vaishnavi Pamulapati and Radhika Mamidi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Coreference Chains Categorization by Sequence Clustering Silvia Federzoni, Lydia-Mai Ho-Dac and C\u00e9cile Fabre . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Resolving Implicit References in Instructional Texts Talita Anthonio and Michael Roth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 A practical perspective on connective generation Frances Yung, Merel Scholman and Vera Demberg . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Semi-automatic discourse annotation in a low-resource language: Developing a connective lexicon for Nigerian Pidgin Marian Marchal, Merel Scholman and Vera Demberg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 Comparison of methods for explicit discourse connective identification across various domains Merel Scholman, Tianai Dong, Frances Yung and Vera Demberg . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits Zheng Zhao and Bonnie Webber . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 Improving Multi-Party Dialogue Discourse Parsing via Domain Integration Zhengyuan Liu and Nancy Chen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 discopy: A Neural System for Shallow Discourse Parsing Ren\u00e9 Knaebel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces Ekaterina Lapshinova-Koltunski, Heike Przybyl and Yuri Bizzoni . . . . . . . . . . . . . . . . . . . . . . . . . . 134 Capturing document context inside sentence-level neural machine translation models with self-training Elman Mansimov, G\u00e1bor Melis and Lei Yu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143 DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing Zhengyuan Liu, Ke Shi and Nancy Chen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154", | |
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