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| "paper_id": "2021", |
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| "text": "DialDoc Workshop focuses on Document-grounded Dialogue and Conversational Question Answering where system responses or answers are based on the relevant content in the associated documents. Such dialogue and conversational question answering systems have the potential to access heterogeneous knowledge in document content dynamically via natural language interactions. In addition, there is a vast amount of written and visual document content created by individuals and organizations to present their knowledge to the world in broad applications. Thus, there is a substantial demand of building personal assistive conversational systems based on documents in many different domains. This area also attracts great attentions from researchers and practitioners in various fields.", |
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| "section": "Preface", |
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| "text": "There are significant individual research threads that show promises in dialogue and QA models over different kinds of knowledge in document content, including (1) unstructured content such as text passages;", |
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| "text": "(2) semi-structured content such as tables or lists; (3) multimedia such as images and videos with associated textual descriptions; (4) or structured data specified by schema such as RDFa or Microdata in the webpages. The purpose of this workshop is to invite researchers to bring their individual perspectives on the document-grounded dialogue and conversational question answering and advance the related AI research in joint effort. We also organize a Shared Task on modeling goal-oriented information-seeking dialogues that are grounded in the associated documents.", |
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| "text": "This Shared Task focuses on building goal-oriented information-seeking conversation systems. The goal is to teach a dialogue system to identify the most relevant knowledge in the given document for generating agent responses in natural language. It includes two subtasks: the first subtask is to predict the grounding span for next agent response given the context; the second subtask is to generate agent response in natural language given the context. There are a total of 23 teams that participated Dev-Test phase. For final test phrase, 11 teams submitted to the leaderboard of Subtask 1, and 9 teams submitted to the leaderboard of Subtask 2. Many submissions outperform baseline significantly. For the first task, the best system achieved 67.1 Exact Match and 76.3 F1 score. For the second subtask, the best system achieved 41.1 SacreBLEU score and highest rank by human evaluation.", |
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| "text": "In this workshop, we have research track and technical system track for Shared Task. There are a total 22 submissions, including 14 submissions to research track and 8 submissions to technical system track, among which, there are 5 non-archival submissions. The workshop program features all 19 accepted papers with another 8 ACL finding papers from ACL main conference. The paper presentations are either as posters or talks in virtual format. We are also fortunate to have great invited talks by Jonathan Berant, Danqi Chen, Dilek Hakkani-Tur, Verena Rieser, Jason Weston, William Wang Yang and Scott (Wen-tau) Yih.", |
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| "text": "Finally, we would like to thank our program committee members, invited speakers, ACL workshop chairs. We are also thankful to IBM Research for sponsoring the Shared Task competition. ", |
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| { |
| "first": "Andrea", |
| "middle": [], |
| "last": "Lin", |
| "suffix": "" |
| }, |
| { |
| "first": "Zihan", |
| "middle": [], |
| "last": "Madotto", |
| "suffix": "" |
| }, |
| { |
| "first": "Peng", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "" |
| }, |
| { |
| "first": "Pascale", |
| "middle": [], |
| "last": "Xu", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Fung", |
| "suffix": "" |
| } |
| ], |
| "year": 2021, |
| "venue": "30 Empathic Conversations Grounded in News Stories: Dataset and Modeling of Empathy and Distress Damilola Omitaomu, Shabnam Tafreshi", |
| "volume": "11", |
| "issue": "", |
| "pages": "5--17", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Conference Program Thursday, August 5, 2021 8:00-8:05 Openning Remark 8:05-8:40 Invited talk I: Jonathan Berant 8:40-9:15 Invited talk II: Verena Rieser 9:15-10:05 Paper lightning talk I 10:05-10:30 Coffee break 10:30-11:05 Invited talk III: Jason Weston 11:05-11:30 Shared task overview 11:05-11:30 DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Model- ing Song Feng 11:30-12:30 Poster session I 11:30-12:30 SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representa- tion Space Liu Yang, Fanqi Meng, Xiao Liu, Ming-Kuang Daniel Wu, Vicent Ying and James Xu 11:30-12:30 A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Di- alogue Systems Dingmin Wang, ziyao chen, Wanwei He, Li Zhong, Yunzhe Tao and Min Yang 11:30-12:30 Automatic Learning Assistant in Telugu Meghana Bommadi, Shreya Terupally and Radhika Mamidi Thursday, August 5, 2021 (continued) 11:30-12:30 Combining Open Domain Question Answering with a Task-Oriented Dialog System Jan Nehring, Nils Feldhus, Harleen Kaur and Akhyar Ahmed 11:30-12:30 CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue Sys- tem Yan Xu, Etsuko Ishii, Genta Indra Winata, Zhaojiang Lin, Andrea Madotto, Zihan Liu, Peng Xu and Pascale Fung 11:30-12:30 Technical Report on Shared Task in DialDoc21 Jiapeng Li, Mingda Li, Longxuan Ma, Wei-Nan Zhang and Ting Liu 11:30-12:30 Cascaded Span Extraction and Response Generation for Document-Grounded Di- alog Nico Daheim, David Thulke, Christian Dugast and Hermann Ney 11:30-12:30 Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering Sony Bachina, Spandana Balumuri and Sowmya Kamath S 11:30-12:30 Q 2 : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Ques- tion Generation and Question Answering Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor and Omri Abend 12:30-13:30 Lunch break 13:30-14:05 Invited talk IV: Danqi Chen 14:05-14:55 Paper lightning talk II 14:55-15:30 Invited talk V: Dilek Hakkani-Tur x Thursday, August 5, 2021 (continued) 15:30-16:30 Poster session II 15:30-16:30 WeaSuL\u03c0: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue Anant Khandelwal 15:30-16:30 Summary-Oriented Question Generation for Informational Queries Xusen Yin, Li Zhou, Kevin Small and Jonathan May 15:30-16:30 Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation Boeun Kim, Dohaeng Lee, Sihyung Kim, Yejin Lee, Jin-Xia Huang, Oh-Woog Kwon and Harksoo Kim 15:30-16:30 Team JARS: DialDoc Subtask 1 -Improved Knowledge Identification with Super- vised Out-of-Domain Pretraining Sopan Khosla, Justin Lovelace, Ritam Dutt and Adithya Pratapa 15:30-16:30 Building Goal-oriented Document-grounded Dialogue Systems Xi Chen, Faner Lin, Yeju Zhou, Kaixin Ma, Jonathan Francis, Eric Nyberg and Alessandro Oltramari 15:30-16:30 Agenda Pushing in Email to Thwart Phishing Hyundong Cho, Genevieve Bartlett and Marjorie Freedman 15:30-16:30 Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling Di Jin, Seokhwan Kim and Dilek Hakkani-Tur 15:30-16:30 Open-Retrieval Conversational Machine Reading Yifan Gao, Jingjing Li, Michael Lyu and Irwin King 15:30-16:30 Empathic Conversations Grounded in News Stories: Dataset and Modeling of Em- pathy and Distress Damilola Omitaomu, Shabnam Tafreshi, Sven Buechel, Chris Callison-Burch, Lyle Ungar, Anneke Buffone and Jo\u00e3o Sedoc 15:30-16:30 A Multi-Passage Knowledge Selector for Information-Seeking Dialogues Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi and Mari Ostendorf Thursday, August 5, 2021 (continued) 16:30-17:05 Invited talk VI: William Wang Yang 17:05-17:40 Invited talk VII: Scott (Wen-tau) Yih", |
| "links": null |
| } |
| }, |
| "ref_entries": {} |
| } |
| } |