| { | |
| "paper_id": "2021", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T07:28:57.571879Z" | |
| }, | |
| "title": "", | |
| "authors": [ | |
| { | |
| "first": "Tim", | |
| "middle": [], | |
| "last": "Bickmore", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
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| { | |
| "first": "\u2022", | |
| "middle": [], | |
| "last": "Adam", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Robert", | |
| "middle": [], | |
| "last": "Wei\u00dfgraeber", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Michelle", | |
| "middle": [], | |
| "last": "Zhou", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "David", | |
| "middle": [ | |
| "M" | |
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| "last": "Howcroft", | |
| "suffix": "", | |
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| { | |
| "first": "Samira", | |
| "middle": [], | |
| "last": "Shaikh", | |
| "suffix": "", | |
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| "email": "" | |
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| { | |
| "first": "Miruna", | |
| "middle": [], | |
| "last": "Clinciu", | |
| "suffix": "", | |
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| "email": "" | |
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| { | |
| "first": "Ehud", | |
| "middle": [], | |
| "last": "Reiter", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Adam", | |
| "middle": [], | |
| "last": "Sam", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Ross", | |
| "middle": [], | |
| "last": "Turner", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Joan", | |
| "middle": [], | |
| "last": "Byamugisha", | |
| "suffix": "", | |
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| "email": "" | |
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| "year": "", | |
| "venue": null, | |
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| "abstract": "The INLG conference is the main international forum for the discussion of all aspects of Natural Language Generation (NLG), including applications, evaluation, models, and resources. The conference started on 20 Sept with a tutorial by David M. Howcroft on Crowdsourcing Experiments and Platforms. The main conference took place over three days (21-23 Sep). We received 76 submissions (excluding Generation Challenges), of which 23 were accepted as long papers, 7 as short papers, and 1 as a demo paper. Generation challenges is a set of shared tasks which are presented at INLG. This year results of 2 challenges were presented: \u2022 Shared Task on Evaluating Accuracy in Generated Texts \u2022 The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG The proceedings include a summary paper for each challenge, and 8 short papers describing submissions to the challenges. We also received 5 proposals for 5 new challenges for 2022, 4 of which were accepted and are included as short papers in the proceedings.", | |
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| "paper_id": "2021", | |
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| "abstract": [ | |
| { | |
| "text": "The INLG conference is the main international forum for the discussion of all aspects of Natural Language Generation (NLG), including applications, evaluation, models, and resources. The conference started on 20 Sept with a tutorial by David M. Howcroft on Crowdsourcing Experiments and Platforms. The main conference took place over three days (21-23 Sep). We received 76 submissions (excluding Generation Challenges), of which 23 were accepted as long papers, 7 as short papers, and 1 as a demo paper. Generation challenges is a set of shared tasks which are presented at INLG. This year results of 2 challenges were presented: \u2022 Shared Task on Evaluating Accuracy in Generated Texts \u2022 The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG The proceedings include a summary paper for each challenge, and 8 short papers describing submissions to the challenges. We also received 5 proposals for 5 new challenges for 2022, 4 of which were accepted and are included as short papers in the proceedings.", | |
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| "section": "Abstract", | |
| "sec_num": null | |
| } | |
| ], | |
| "body_text": [ | |
| { | |
| "text": "INLG would not have been possible without the generous financial support we received from our sponsors:", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 ADAPT Centre ", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [], | |
| "bib_entries": { | |
| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": "00 Oral Session 3: Emotions & User Adaptation Affective Decoding for Empathetic Response Generation Chengkun Zeng, Guanyi Chen, Chenghua Lin, Ruizhe Li and Zhi Chen Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer Kim Cheng SHEANG and Horacio Saggion SEPRG: Sentiment aware Emotion controlled Personalized Response Generation Mauajama Firdaus", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Wednesday", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2021, | |
| "venue": "SIGGEN Business Meeting Thursday", | |
| "volume": "12", | |
| "issue": "", | |
| "pages": "20--34", | |
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| "num": null, | |
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| "raw_text": "Wednesday, 22 September 2021 (continued) 18:00-19:00 SIGGEN Business Meeting Thursday, 23 September 2021 12:00-13:00 Oral Session 3: Emotions & User Adaptation Affective Decoding for Empathetic Response Generation Chengkun Zeng, Guanyi Chen, Chenghua Lin, Ruizhe Li and Zhi Chen Controllable Sentence Simplification with a Unified Text-to-Text Transfer Trans- former Kim Cheng SHEANG and Horacio Saggion SEPRG: Sentiment aware Emotion controlled Personalized Response Generation Mauajama Firdaus, Umang Jain, Asif Ekbal and Pushpak Bhattacharyya 13:20-14:40 Panel Discussion", | |
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| }, | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "40 Mid-afternoon Break Thursday", | |
| "authors": [ | |
| { | |
| "first": "Adam", | |
| "middle": [], | |
| "last": "Sam", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2021, | |
| "venue": "", | |
| "volume": "14", | |
| "issue": "", | |
| "pages": "40--55", | |
| "other_ids": {}, | |
| "num": null, | |
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| "raw_text": "Adam Sam (Monok), Ross Turner (Arria), Robert Wei\u00dfgraber (Ax Semantics), & Michelle Zhou (Juji) 14:40-15:40 Mid-afternoon Break Thursday, 23 September 2021 (continued) 15:40-16:40 Poster Session 3", | |
| "links": null | |
| }, | |
| "BIBREF2": { | |
| "ref_id": "b2", | |
| "title": "Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning Sina Zarrie\u00df, Hendrik Buschmeier, Ting Han and Simeon Sch\u00fcz GraphPlan: Story Generation by Planning with Event Graph Hong Chen, Raphael Shu, Hiroya Takamura and Hideki Nakayama BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset Dmytro Kalpakchi and Johan Boye Exploring Structural Encoding for Data-to-Text Generation Joy Mahapatra and Utpal Garain Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG Juraj Juraska and Marilyn Walker Closing Plenary", | |
| "authors": [ | |
| { | |
| "first": "Nicholas", | |
| "middle": [], | |
| "last": "Drago", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Angelo Ziletti", | |
| "middle": [], | |
| "last": "Decoding", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "50 Invited Talk: Health Counseling Dialogue Systems: Promise and Peril Tim Bickmore", | |
| "volume": "17", | |
| "issue": "", | |
| "pages": "50--68", | |
| "other_ids": {}, | |
| "num": null, | |
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| "raw_text": "Biomedical Data-to-Text Generation via Fine-Tuning Transformers Ruslan Yermakov, Nicholas Drago and Angelo Ziletti Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning Sina Zarrie\u00df, Hendrik Buschmeier, Ting Han and Simeon Sch\u00fcz GraphPlan: Story Generation by Planning with Event Graph Hong Chen, Raphael Shu, Hiroya Takamura and Hideki Nakayama BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset Dmytro Kalpakchi and Johan Boye Exploring Structural Encoding for Data-to-Text Generation Joy Mahapatra and Utpal Garain Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG Juraj Juraska and Marilyn Walker Closing Plenary 17:00-17:50 Invited Talk: Health Counseling Dialogue Systems: Promise and Peril Tim Bickmore (Northeastern University) 17:50-18:00 Closing Remarks", | |
| "links": null | |
| } | |
| }, | |
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| "content": "<table><tr><td>Albert Gatt (University of Malta) Mihir Kale (Google)</td></tr><tr><td>Dimitra Gkatzia (Edinburgh Napier University) Emiel Krahmer (Tilburg University)</td></tr><tr><td>Saad Mahamood (Trivago) Tatsuki Kuribayashi (Tohoku University)</td></tr><tr><td>Lara Martin (University of Pennsylvania) Cyril Labbe (Universit\u00e9 Grenoble Alpes) \u2022 Arria NLG Shrimai Prabhumoye (Carnegie Mellon) Gerasimos Lampouras (Huawei Noah's Ark Lab)</td></tr><tr><td>Natalie Schluter (University of Copenhagen) Maurice Langner (Ruhr-Universit\u00e4t Bochum) \u2022 Ax Semantics Samira Shaikh (University of North Carolina Charlotte) Lin Li (Qinghai Normal University) \u2022 Google Sina Zarrie\u00df (Friedrich Schiller Universit\u00e4t Jena) Tianyu Liu (Peking University)</td></tr><tr><td>Xingxing Zhang (Microsoft China) Elena Lloret (University of Alicante) \u2022 Hugging Face Saad Mahamood (Trivago)</td></tr><tr><td>Zola Mahlaza (University of Cape Town)</td></tr><tr><td>Anya Belz Angela Fan Ehud Reiter Yaji Sripada INLG 2021 Programme Chairs Aleksandre Maskharashvili (Ohio State University) Program Committee: David McDonald (SIFT) Malihe Alikhani (University of Pittsburgh) Antonio Valerio Miceli Barone (The University of Edinburgh) Jose Alonso (University of Santiago de Compostela) Simon Mille (Pompeu Fabra University) Jun Araki (Bosch Research) Diego Moussallem (Paderborn Univerisity) Vidhisha Balachandran (Carnegie Mellon University) Ryo Nagata (Konan University) David Bamutura (Chalmers University of Technology) Daniel Paiva (Arria NLG) Jennifer Biggs (Defence Science and Technology Group) Pablo P\u00e9rez De Angelis (TuQuejaSuma) Nadjet Bouayad-Agha (NLP Consultant) Paul Piwek (The Open University) Daniel Braun (TU Munich) Fran\u00e7ois Portet (Universit\u00e9 Grenoble Alpes) Gordon Briggs (U.S. Naval Research Laboratory) Sashank Santhanam (University of North Carolina Charlotte) Alberto Bugar\u00edn-Diz (University of Santiago de Compostela) Lei Shu (University of Illinois at Chicago) Jan Buys (University of Cape Town) Marco Antonio Sobrevilla Cabezudo (Universidade de S\u00e3o Paulo) Michele Cafagna (University of Malta) Balaji Vasan Srinivasan (Adobe Research) Guanyi Chen (Utrecht University) Somayajulu Sripada (University of Aberdeen) Yagmur Gizem Cinar (Naver Labs Europe) Kristina Striegnitz (Union College) Elizabeth Clark (University of Washington) Shahbaz Syed (Leipzig University) Brian Davis (Dublin City University) Hiroya Takamura (Tokyo Institute of Technology) Rodrigo de Oliveira (Arria NLG) Marc Tanti (University of Malta) Nina Dethlefs (University of Hull) Mari\u00ebt Theune (University of Twente) Martin Dominguez (Universidad Nacional de Cordoba) Craig Thomson (University of Aberdeen) Yuheng Du (Amazon) Ross Turner (Arria NLG) Pablo Duboue (NLP Consultant) Kees van Deemter (Utrecht University) Macarena Espinilla Est\u00e9vez (University of Ja\u00e9n) Keith VanderLinden (Calvin College) Farhood Farahnak (Concordia University) Stephen Wan (CSIRO) Cristina Garbacea (University of Michigan) Di Wang (Carnegie Mellon University) Lorenzo Gatti (Human Media Interaction, University of Twente) Qingyun Wang (University of Illinois at Urbana-Champaign) Pablo Gerv\u00e1s (Universidad Complutense de Madrid) Robert Wei\u00dfgraeber (Ax Semantics) Dimitra Gkatzia (Edinburgh Napier University) Michael White (Ohio State University) Martijn Goudbeek (Tilburg University) Qiongkai Xu (The Australian National University) Ting Han (National Institute of Advanced Industrial Science and Technology) Xinnuo Xu (Heriot-Watt University) Aki H\u00e4rm\u00e4 (Philips Research) Jin-ge Yao (Peking University) Sadid A. Hasan (CVS Health) Zhirui Zhang (University of Science and Technology of China) Raquel Hervas (University Complutense of Madrid) Yinhe Zheng (Alibaba) Daphne Ippolito (University of Pennsylvana) Qingyu Zhou (Tencent) Amy Isard (University of Hamburg) Yanyan Zou (JD) Takumi Ito (Tohoku University) Harsh Jhamtani (Carnegie Mellon University) Ingrid Zukerman (Monash University)</td></tr><tr><td>Aditya Joshi (CSIRO)</td></tr><tr><td>Da Ju (Facebook)</td></tr></table>", | |
| "text": "We would also like to thank Abbey Conference Management for their hard work on delivering INLG 2021 online. Finally would also like to extend our gratitude to all speakers, (area) chairs and reviewers for their excellent work." | |
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| "text": "Conference PapersGenerating Diverse Descriptions from Semantic Graphs Jiuzhou Han, Daniel Beck and Trevor Cohn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too? Aleksandre Maskharashvili, Symon Stevens-Guille, Xintong Li and Michael White . . . . . . . . . . . 12 Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Kordula De Kuthy, Lukas Stein and Detmar" | |
| } | |
| } | |
| } | |
| } |