| { | |
| "paper_id": "2020", | |
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| "date_generated": "2023-01-19T07:28:55.045744Z" | |
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| "title": "", | |
| "authors": [ | |
| { | |
| "first": "Daniel", | |
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| "last": "Braun", | |
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| "last": "Munich", | |
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| "first": "Laura", | |
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| "last": "Perez-Beltrachini", | |
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| "first": "Gerasimos", | |
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| "last": "Lampouras", | |
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| "first": "Huawei", | |
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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 data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Special topics of interest for the 2020 edition included: \u2022 Generating text in languages beyond English, \u2022 NLG approaches from visual inputs (images, charts and virtual environments), and \u2022 Evaluation of NLG Systems, with papers revisiting evaluation methodologies and human studies, and two Shared Task proposals.", | |
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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 data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Special topics of interest for the 2020 edition included: \u2022 Generating text in languages beyond English, \u2022 NLG approaches from visual inputs (images, charts and virtual environments), and \u2022 Evaluation of NLG Systems, with papers revisiting evaluation methodologies and human studies, and two Shared Task proposals.", | |
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| "section": "Abstract", | |
| "sec_num": null | |
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| "body_text": [ | |
| { | |
| "text": "Three international keynote speakers, experts on NLG and Multi-Modal and Multi-Lingual Generation contributed to this year's program:", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 Claire Gardent (CNRS / LORIA, France)", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
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| { | |
| "text": "\u2022 Lucia Specia (Imperial College London / University of Sheffield, UK and ADAPT Centre, DCU, Ireland)", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
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| "section": "", | |
| "sec_num": null | |
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| { | |
| "text": "\u2022 The main conference unfolds over two and a half days to accommodate the number of submissions. For the main conference, we received 119 submissions, of which 27 were accepted as long papers, 15 as short papers, 1 as demo paper, and 3 as generation challenge papers. All accepted papers for the main conference are included in these proceedings.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
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| "section": "", | |
| "sec_num": null | |
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| { | |
| "text": "We received financial support from the following sponsors:", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 Google ", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 ARRIA NLG \u2022 Huawei \u2022 ADAPT", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
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| ], | |
| "back_matter": [ | |
| { | |
| "text": "We would like to thank all our sponsors for their support, and in particular Abbey Conference Management for their hard work for the smooth transition to deliver INLG 2020 online. Finally would also like to extend our gratitude to all speakers, (area) chairs and reviewers for their excellent work.", | |
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| "section": "acknowledgement", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "INLG 2020 Programme Chairs", | |
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| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Brian Davis Yvette Graham John Kelleher Yaji Sripada", | |
| "sec_num": null | |
| } | |
| ], | |
| "bib_entries": { | |
| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": "Transformer-based NLG Systems Tansformer based Natural Language Generation for Question-Answering Imen Akermi, Johannes Heinecke and Fr\u00e9d\u00e9ric Herledan Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders Nikola I. Nikolov, Eric Malmi, Curtis Northcutt and Loreto Parisi Reducing Non-Normative Text Generation from Language Models Xiangyu Peng", | |
| "authors": [ | |
| { | |
| "first": "Philipp", | |
| "middle": [], | |
| "last": "Thursday ; Jana G\u00f6tze", | |
| "suffix": "" | |
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| { | |
| "first": "Henrik", | |
| "middle": [], | |
| "last": "Sadler", | |
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| { | |
| "first": "Sina", | |
| "middle": [], | |
| "last": "Voigt", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "David Schlangen What Bert Sees ; Wei-Ting", | |
| "middle": [], | |
| "last": "Zarrie\u00df", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Emiel", | |
| "middle": [], | |
| "last": "Lu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Albert", | |
| "middle": [], | |
| "last": "Krahmer", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Guanyi", | |
| "middle": [], | |
| "last": "Gatt", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Chen", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2020, | |
| "venue": "Oral Session 6: NLG and Vision From \"Before\" to \"After\": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain Robin Rojowiec", | |
| "volume": "7", | |
| "issue": "", | |
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| "num": null, | |
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| "raw_text": "Thursday December 17, 2020 (continued) 13:15-14:15 Oral Session 6: NLG and Vision From \"Before\" to \"After\": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain Robin Rojowiec, Jana G\u00f6tze, Philipp Sadler, Henrik Voigt, Sina Zarrie\u00df and David Schlangen What BERT Sees: Cross-Modal Transfer for Visual Question Generation Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano and Patrick Gallinari When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions Nikolai Ilinykh and Simon Dobnik 14:15-15:00 Lunch 15:00-16:00 Oral Session 7: Transformer-based NLG Systems Tansformer based Natural Language Generation for Question-Answering Imen Akermi, Johannes Heinecke and Fr\u00e9d\u00e9ric Herledan Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders Nikola I. Nikolov, Eric Malmi, Curtis Northcutt and Loreto Parisi Reducing Non-Normative Text Generation from Language Models Xiangyu Peng, Siyan Li, Spencer Frazier and Mark Riedl 16:00-16:15 Coffee/Tea Break Thursday December 17, 2020 (continued) 16:15-17:15 Oral Session 8: Knowledge Guided NLG Models ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthe- sis Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji and Nazneen Fatema Rajani Gradations of Error Severity in Automatic Image Descriptions Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer, Albert Gatt, Guanyi Chen, Lin Li and Kees van Deemter Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Sys- tems Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim, Yang Liu, Mihail Eric and Dilek Hakkani-Tur 17:20-18:05 Keynote 3: Michael White Data-Efficient Modeling for Compositional Neural NLG", | |
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| }, | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "Workshop 2: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI)", | |
| "authors": [], | |
| "year": 2020, | |
| "venue": "", | |
| "volume": "11", | |
| "issue": "", | |
| "pages": "15--18", | |
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| "num": null, | |
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| "raw_text": "Friday December 18, 2020 11:00-18:20 Workshop 2: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI) 11:00-18:20 Workshop 3: 2nd Workshop on Natural Language Generation for Human- Robot Interaction (NLG4HRI) 11:00-18:20 Workshop 4: 1st Workshop on Evaluating NLG Evaluation Friday December 18, 2020 (continued) 11:00-18:20 Workshop 5: 3rd Workshop on Natural Language Generation from the Se- mantic Web 17:25-18:15 Round Table 18:15-18:25 Concluding Remarks and Farewell", | |
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| "text": "Michael White (Ohio State University, United States) In addition to the main conference, a number of workshops were accepted following an open Call for Workshop Proposals: \u2022 1st Workshop on Discourse Theories for Text Planning", | |
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| "content": "<table><tr><td>\u2022 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI)</td></tr><tr><td>\u2022 2nd Workshop on Natural Language Generation for Human-Robot Interaction (NLG4HRI)</td></tr><tr><td>\u2022 1st Workshop on Evaluating NLG Evaluation</td></tr></table>" | |
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| "TABREF2": { | |
| "type_str": "table", | |
| "html": null, | |
| "text": "Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model Mana Ihori, Ryo Masumura, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima and Shota Orihashi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1", | |
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