A | B | C | D | E | F | G | H | I | |
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1 | Day | Time (CEST) | Oral Session | Session Chair | Poster session | Paper ID | Track | Authors | Paper Title |
2 | Apr 21 | 8:45 | OPENING | ||||||
3 | Apr 21 | 9-10 | KEYNOTE 1 | Mirella Lapata | Marco Baroni | ||||
4 | Apr 21 | 10-11 | DIA 1 | DIA+GEN 1 | 332 | Dialogue and Interactive Systems | Ernie Chang, Vera Demberg and Alex Marin | Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling | |
5 | Apr 21 | 10-11 | DIA 1 | DIA+GEN 1 | 343 | Dialogue and Interactive Systems | Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann and Maria Maleshkova | Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks | |
6 | Apr 21 | 10-11 | DIA 1 | DIA+GEN 1 | TACL | Angela Fan; Claire Gardent; Chloe Braud; Antoine Bordes | Augmenting Transformers with KNN-Based Composite Memory for Dialog | ||
7 | Apr 21 | 10-11 | DOC 1 | APPS 1 | 342 | Document analysis including Text Categorization and Topic Models | Vijit Malik, Ashwani Bhat and Ashutosh Modi | Adv-OLM: Generating Textual Adversaries via OLM | |
8 | Apr 21 | 10-11 | DOC 1 | APPS 1 | 350 | Document analysis including Text Categorization and Topic Models | Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix Gers and Alexander Loeser | Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration | |
9 | Apr 21 | 10-11 | DOC 1 | APPS 1 | CL | Matej Martinc, Senja Pollak, Marko Robnik-Šikonja | Supervised and Unsupervised Neural Approaches to Text Readability | ||
10 | Apr 21 | 10-11 | INTERPRET 1 | LING 2 | 821 | Interpretability and Analysis of Models for NLP | Lucas Weber, Jaap Jumelet, Elia Bruni and Dieuwke Hupkes | Language Modelling as a Multi-Task Problem | |
11 | Apr 21 | 10-11 | INTERPRET 1 | LING 2 | 1157 | Interpretability and Analysis of Models for NLP | Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard and Joakim Nivre | Attention Can Reflect Syntactic Structure (If You Let It) | |
12 | Apr 21 | 10-11 | INTERPRET 1 | LING 2 | 1226 | Interpretability and Analysis of Models for NLP | Tatyana Ruzsics, Olga Sozinova, Ximena Gutierrez-Vasques and Tanja Samardzic | Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules | |
13 | Apr 21 | 11-14 | GATHER TOWN | ||||||
14 | Apr 21 | 14-15 | CSS | CSS+SENTIMENT 1 | 816 | Computational Social Science and Social Media | Christine De Kock and Andreas Vlachos | I Beg to Differ: A study of constructive disagreement in online conversations | |
15 | Apr 21 | 14-15 | CSS | CSS+SENTIMENT 1 | 836 | Computational Social Science and Social Media | Sunyam Bagga, Andrew Piper and Derek Ruths | "Are you kidding me?": Detecting Unpalatable Questions on Reddit | |
16 | Apr 21 | 14-15 | CSS | CSS+SENTIMENT 1 | 1330 | Computational Social Science and Social Media | Oana Balalau and Roxana Horincar | From the Stage to the Audience: Propaganda on Reddit | |
17 | Apr 21 | 14-15 | GEN 1 | DIA+GEN 1 | 576 | Generation and Summarization | Léo Laugier, John Pavlopoulos, Jeffrey Sorensen and Lucas Dixon | Civil Rephrases Of Toxic Texts With Self-Supervised Transformers | |
18 | Apr 21 | 14-15 | GEN 1 | DIA+GEN 1 | 995 | Generation and Summarization | Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer and Andrew McCallum | Changing the Mind of Transformers for Topically-Controllable Language Generation | |
19 | Apr 21 | 14-15 | GEN 1 | DIA+GEN 1 | 1231 | Generation and Summarization | Xiaojing Yu and Anxiao Jiang | Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible Templates | |
20 | Apr 21 | 14-15 | IR/QA 1 | APPS 1 | 99 | Information Retrieval, Search and Question Answering | Gustavo Penha and Claudia Hauff | On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search | |
21 | Apr 21 | 14-15 | IR/QA 1 | APPS 1 | 157 | Information Retrieval, Search and Question Answering | Zhiguo Wang, Patrick Ng, Ramesh Nallapati and Bing Xiang | Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering | |
22 | Apr 21 | 14-15 | IR/QA 1 | APPS 1 | 1122 | Information Retrieval, Search and Question Answering | Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy and Alan W Black | NoiseQA: Challenge Set Evaluation for User-Centric Question Answering | |
23 | Apr 21 | 14-15 | ML 1 | ML-GREEN-LRE 2 | 44 | Green and Sustainable NLP | Ji Xin, Raphael Tang, Yaoliang Yu and Jimmy Lin | BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression | |
24 | Apr 21 | 14-15 | ML 1 | ML-GREEN-LRE 2 | 441 | Machine Learning for NLP | Bo Pang, Erik Nijkamp, Tian Han and Ying Nian Wu | Generative Text Modeling through Short Run Inference | |
25 | Apr 21 | 14-15 | ML 1 | ML-GREEN-LRE 2 | 444 | Machine Learning for NLP | Manuel Widmoser, Maria Pacheco, Jean Honorio and Dan Goldwasser | Randomized Deep Structured Prediction for Discourse-Level Processing | |
26 | Apr 21 | 14-15 | SYNTAX | LING 3 | 683 | Syntax: Tagging, Chunking, and Parsing | Ákos Kádár, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan Jepson and Afsaneh Fazly | Dependency parsing with structure preserving embeddings | |
27 | Apr 21 | 14-15 | SYNTAX | LING 3 | TACL | Jakob Prange; Nathan Schneider; Vivek Srikumar | Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories | ||
28 | Apr 21 | 14-15 | SYNTAX | LING 3 | TACL | Alireza Mohammadshahi, James Henderson | Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement | ||
29 | Apr 21 | 15-17 | POSTER 1-5 | DIA+GEN 1 | see below | ||||
30 | Apr 21 | 15-17 | CSS+SENTIMENT 1 | and second TAB | |||||
31 | Apr 21 | 15-17 | SEM 1 | ||||||
32 | Apr 21 | 15-17 | MT-LRE 1 | ||||||
33 | Apr 21 | 15-17 | APPS 1 | ||||||
34 | Apr 21 | 15-17 | DEMOS 1 | see TAB 3 below | |||||
35 | Apr 21 | 17-18 | PANEL | Gretchen McCulloch | |||||
36 | Apr 21 | 18-22 | GATHER TOWN | ||||||
37 | Apr 22 | 9-10 | DISCO | CSS+SENTIMENT 2 | 225 | Discourse and Pragmatics | Jiaxin Bai, Hongming Zhang, Yangqiu Song and Kun Xu | Joint Coreference Resolution and Character Linking for Multiparty Conversation | |
38 | Apr 22 | 9-10 | DISCO | CSS+SENTIMENT 2 | 313 | Discourse and Pragmatics | Fajri Koto, Jey Han Lau and Timothy Baldwin | Top-down Discourse Parsing via Sequence Labelling | |
39 | Apr 22 | 9-10 | DISCO | CSS+SENTIMENT 2 | 1326 | Discourse and Pragmatics | Tasnim Mohiuddin, Prathyusha Jwalapuram, Xiang Lin and Shafiq Joty | Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks | |
40 | Apr 22 | 9-10 | IE 1 | APPS 2 | 377 | Information Extraction and Text Mining | Ravneet Arora, Chen-Tse Tsai and Daniel Preotiuc-Pietro | Identifying Named Entities as they are Typed | |
41 | Apr 22 | 9-10 | IE 1 | APPS 2 | 725 | Information Extraction and Text Mining | Benjamin Heinzerling and Kentaro Inui | Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries | |
42 | Apr 22 | 9-10 | IE 1 | APPS 2 | 1371 | Information Extraction and Text Mining | Markus Eberts and Adrian Ulges | An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning | |
43 | Apr 22 | 9-10 | LRE 1 | ML-LRE-MISC 3 | 755 | Language Resources and Evaluation | Anders Søgaard, Sebastian Ebert, Jasmijn Bastings and Katja Filippova | We Need To Talk About Random Splits | |
44 | Apr 22 | 9-10 | LRE 1 | ML-LRE-MISC 3 | 873 | Language Resources and Evaluation | Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige and Costanza Conforti | Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries | |
45 | Apr 22 | 9-10 | LRE 1 | ML-LRE-MISC 3 | 1219 | Language Resources and Evaluation | Albin Zehe, Leonard Konle, Lea Katharina Dümpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber and Nathalie Wiedmer | Detecting Scenes in Fiction: A new Segmentation Task | |
46 | Apr 22 | 9-10 | MT 1 | MT-MULTI 3 | 130 | Machine Translation | Yuekai Zhao, Shuchang Zhou and Zhihua Zhang | Multi-split Reversible Transformers Can Enhance Neural Machine Translation | |
47 | Apr 22 | 9-10 | MT 1 | MT-MULTI 3 | 1036 | Machine Translation | Philip Arthur, Trevor Cohn and Gholamreza Haffari | Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning | |
48 | Apr 22 | 9-10 | MT 1 | MT-MULTI 3 | TACL | MinhQuang Pham, Josep Maria Crego, François Yvon | Revisiting Multi-Domain Machine Translation | ||
49 | Apr 22 | 10-11 | GROUND | SEM 3 | 454 | Language Grounding to Vision, Robotics and Beyond | Yufei Wang, Ian Wood, Stephen Wan and Mark Johnson | ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning | |
50 | Apr 22 | 10-11 | GROUND | SEM 3 | 862 | Language Grounding to Vision, Robotics and Beyond | Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo and Oliver Lemon | An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games | |
51 | Apr 22 | 10-11 | GROUND | SEM 3 | 1094 | Language Grounding to Vision, Robotics and Beyond | Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters and Yinfei Yang | Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO | |
52 | Apr 22 | 10-11 | MULTILING 1 | MT-MULTI 3 | 602 | Multilinguality | Yevgen Matusevych, Herman Kamper, Thomas Schatz, Naomi Feldman and Sharon Goldwater | A phonetic model of non-native spoken word processing | |
53 | Apr 22 | 10-11 | MULTILING 1 | MT-MULTI 3 | 1344 | Multilinguality | Ishan Tarunesh, Sushil Khyalia, vishwajeet kumar, Ganesh Ramakrishnan and Preethi Jyothi | Meta-Learning for Effective Multi-task and Multilingual Modelling | |
54 | Apr 22 | 10-11 | MULTILING 1 | MT-MULTI 3 | TACL | Jiaming Luo; Frederik Hartmann; Enrico Santus; Yuan Cao; Regina Barzilay | Deciphering Undersegmented Ancient Scripts Using Phonetic Prior | ||
55 | Apr 22 | 10-11 | SEM-Lex | SEM 3 | 239 | Semantics: Lexical Semantics | Alan Ansell, Felipe Bravo-Marquez and Bernhard Pfahringer | PolyLM: Learning about Polysemy through Language Modeling | |
56 | Apr 22 | 10-11 | SEM-Lex | SEM 3 | 557 | Semantics: Lexical Semantics | Luis Espinosa Anke, Joan Codina-Filba and Leo Wanner | Evaluating language models for the retrieval and categorization of lexical collocations | |
57 | Apr 22 | 10-11 | SEM-Lex | SEM 3 | 1299 | Semantics: Lexical Semantics | Christos Xypolopoulos, Antoine Tixier and Michalis Vazirgiannis | Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings | |
58 | Apr 22 | 11-14 | GATHER TOWN | ||||||
59 | Apr 22 | 14-15 | DIA 2 | DIA+GEN 3 | 402 | Dialogue and Interactive Systems | Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza and Julian McAuley | Zero-shot Generalization in Dialog State Tracking through Generative Question Answering | |
60 | Apr 22 | 14-15 | DIA 2 | DIA+GEN 3 | 423 | Dialogue and Interactive Systems | Dian Yu and Zhou Yu | MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations | |
61 | Apr 22 | 14-15 | DIA 2 | DIA+GEN 3 | 490 | Dialogue and Interactive Systems | Qingyang Wu, Yichi Zhang, Yu Li and Zhou Yu | Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models | |
62 | Apr 22 | 14-15 | DOC 2 | APPS 2 | 950 | Document analysis including Text Categorization and Topic Models | Suzanna Sia and Kevin Duh | Adaptive Mixed Component LDA for Low Resource Topic Modeling | |
63 | Apr 22 | 14-15 | DOC 2 | APPS 2 | 956 | Document analysis including Text Categorization and Topic Models | Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler and Mohit Bansal | Hidden Biases in Unreliable News Detection Datasets | |
64 | Apr 22 | 14-15 | DOC 2 | APPS 2 | 1086 | Document analysis including Text Categorization and Topic Models | Chinnadhurai Sankar, Sujith Ravi and Zornitsa Kozareva | ProFormer: Towards On-Device LSH Projection Based Transformers | |
65 | Apr 22 | 14-15 | LING | LING 3 | 16 | Linguistic Theories, Cognitive Modeling and Psycholinguistics | Tiago Pimentel, Ryan Cotterell and Brian Roark | Disambiguatory Signals are Stronger in Word-initial Positions | |
66 | Apr 22 | 14-15 | LING | LING 3 | 964 | Linguistic Theories, Cognitive Modeling and Psycholinguistics | Isabel Papadimitriou, Ethan A. Chi, Richard Futrell and Kyle Mahowald | Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT | |
67 | Apr 22 | 14-15 | LING | LING 3 | 1331 | Linguistic Theories, Cognitive Modeling and Psycholinguistics | Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, Marco Idiart and Aline Villavicencio | Probing for idiomaticity in vector space models | |
68 | Apr 22 | 14-15 | SENTIMENT 1 | CSS+SENTIMENT 2 | 693 | Sentiment Analysis, Stylistic Analysis, and Argument Mining | Gabriella Skitalinskaya, Jonas Klaff and Henning Wachsmuth | Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale | |
69 | Apr 22 | 14-15 | SENTIMENT 1 | CSS+SENTIMENT 2 | 811 | Sentiment Analysis, Stylistic Analysis, and Argument Mining | Debanjan Ghosh, Ritvik Shrivastava and Smaranda Muresan | ``Laughing at you or with you'': The Role of Sarcasm in Shaping the Disagreement Space | |
70 | Apr 22 | 14-15 | SENTIMENT 1 | CSS+SENTIMENT 2 | 1211 | Interpretability and Analysis of Models for NLP | Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi and Noah A. Smith | Challenges in Automated Debiasing for Toxic Language Detection | |
71 | Apr 22 | 14-15 | SRW | Student Research Workshop | |||||
72 | Apr 22 | 14-15 | SRW | Student Research Workshop | |||||
73 | Apr 22 | 14-15 | SRW | Student Research Workshop | |||||
74 | Apr 22 | 14-15 | SRW | Student Research Workshop | |||||
75 | Apr 22 | 15-17 | POSTER 6-9 | CSS+SENTIMENT 2 | see below | ||||
76 | Apr 22 | 15-17 | LING 2 | and second TAB | |||||
77 | Apr 22 | 15-17 | ML-GREEN-LRE 2 | ||||||
78 | Apr 22 | 15-17 | APPS 2 | ||||||
79 | Apr 22 | 15-17 | SRW-POSTERS | ||||||
80 | Apr 22 | 15-17 | DEMOS 2 | see TAB 3 below | |||||
81 | Apr 22 | 17-18 | KEYNOTE 2 | Afra Alishahi | Fernanda Ferreira | ||||
82 | Apr 22 | 18-22 | GATHER TOWN | ||||||
83 | Apr 23 | 9-10 | LRE 2 | ML-LRE-MISC 3 | 186 | Language Resources and Evaluation | Qingxiu Dong, Xiaojun Wan and Yue Cao | ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation | |
84 | Apr 23 | 9-10 | LRE 2 | ML-LRE-MISC 3 | 472 | Language Resources and Evaluation | Amir Soleimani, Christof Monz and marcel worring | NLQuAD: A Non-Factoid Long Question Answering Data Set | |
85 | Apr 23 | 9-10 | LRE 2 | ML-LRE-MISC 3 | 610 | Language Resources and Evaluation | Juri Opitz and Anette Frank | Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR | |
86 | Apr 23 | 9-10 | ML 2 | ML-LRE-MISC 3 | 40 | Machine Learning for NLP | Akhil Kedia and SAI CHETAN CHINTHAKINDI | Keep Learning: Self-supervised Meta-learning for Learning from Inference | |
87 | Apr 23 | 9-10 | ML 2 | ML-LRE-MISC 3 | 112 | Machine Learning for NLP | Itzik Malkiel and Lior Wolf | Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models | |
88 | Apr 23 | 9-10 | ML 2 | ML-LRE-MISC 3 | 207 | Machine Learning for NLP | Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho and Iryna Gurevych | AdapterFusion: Non-Destructive Task Composition for Transfer Learning | |
89 | Apr 23 | 9-10 | MORPH | LING 3 | 778 | Phonology, Morphology and Word Segmentation | Marcel Bollmann and Anders Søgaard | Error Analysis and the Role of Morphology | |
90 | Apr 23 | 9-10 | MORPH | MT-MULTI 3 | 1197 | Machine Translation | Toms Bergmanis and Mārcis Pinnis | Facilitating Terminology Translation with Target Lemma Annotations | |
91 | Apr 23 | 9-10 | MORPH | LING 3 | 1202 | Phonology, Morphology and Word Segmentation | Kirill Milintsevich and Kairit Sirts | Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources | |
92 | Apr 23 | 9-10 | SENTIMENT 2 | ML-LRE-MISC 3 | 164 | Sentiment Analysis, Stylistic Analysis, and Argument Mining | Michael Wiegand and Josef Ruppenhofer | Exploiting Emojis for Abusive Language Detection | |
93 | Apr 23 | 9-10 | SENTIMENT 2 | ML-LRE-MISC 3 | 257 | Sentiment Analysis, Stylistic Analysis, and Argument Mining | Jie Zhou, Yuanbin Wu, Changzhi Sun and Liang He | Is ``hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons | |
94 | Apr 23 | 9-10 | SENTIMENT 2 | ML-LRE-MISC 3 | 273 | Sentiment Analysis, Stylistic Analysis, and Argument Mining | Yuxiao Ye and Simone Teufel | End-to-End Argument Mining as Biaffine Dependency Parsing | |
95 | Apr 23 | 10-11 | GEN 2 | DIA+GEN 3 | 129 | Generation and Summarization | Yixuan Su, Deng Cai, Yan Wang, David Vandyke, Simon Baker, Piji Li and Nigel Collier | Non-Autoregressive Text Generation with Pre-trained Language Models | |
96 | Apr 23 | 10-11 | GEN 2 | DIA+GEN 3 | 980 | Generation and Summarization | James Hargreaves, Andreas Vlachos and Guy Emerson | Incremental Beam Manipulation for Natural Language Generation | |
97 | Apr 23 | 10-11 | GEN 2 | DIA+GEN 3 | 1340 | Generation and Summarization | Lee Hsun Hsieh, Yang-Yin Lee and Ee-Peng Lim | Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer | |
98 | Apr 23 | 10-11 | IR/QA 2 | APPS 3 | 271 | Information Retrieval, Search and Question Answering | kyungho kim, Kyungjae Lee, Seung-won Hwang, Young-In Song and seungwook lee | Query Generation for Multimodal Documents | |
99 | Apr 23 | 10-11 | IR/QA 2 | APPS 3 | 406 | Information Retrieval, Search and Question Answering | Ji Ma, Ivan Korotkov, Yinfei Yang, Keith Hall and Ryan McDonald | Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation | |
100 | Apr 23 | 10-11 | IR/QA 2 | APPS 3 | 1311 | Information Retrieval, Search and Question Answering | Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury, Puneet Agarwal, Indrajit Bhattacharya and Gautam Shroff | Complex Question Answering on knowledge graphs using machine translation and multi-task learning |