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CoNLL 2020 — accepted papers

CoNLL 2020 is the 2020 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Online, November 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 61 papers of it; our library holds 8 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Interpreting Attention Models with Human Visual Attention in Machine Reading ComprehensionEkta Sood, Simon Tannert, Diego Frassinelli et al.59 citations
  2. MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation ParsingStephan Oepen, Omri Abend, Lasha Abzianidze et al.48 citations · our summary
  3. Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsEmanuela Boros, Ahmed Hamdi, Elvys Linhares Pontes et al.42 citations
  4. Are Pretrained Language Models Symbolic Reasoners over Knowledge?Nora Kassner, Benno Krojer, Hinrich Schütze35 citations · our summary
  5. On the Computational Power of Transformers and Its Implications in Sequence ModelingSatwik Bhattamishra, Arkil Patel, Navin Goyal32 citations
  6. Bridging Information-Seeking Human Gaze and Machine Reading ComprehensionJonathan Malmaud, Roger Levy, Yevgeni Berzak30 citations
  7. What Are You Trying to Do? Semantic Typing of Event ProcessesMuhao Chen, Hongming Zhang, Haoyu Wang et al.28 citations
  8. Identifying Incorrect Labels in the CoNLL-2003 CorpusFrederick Reiss, Hong Xu, Bryan Cutler et al.27 citations

All accepted papers (61)

The most cited first; 8 with our summary link to their page here, the others to the original.

  1. Interpreting Attention Models with Human Visual Attention in Machine Reading ComprehensionEkta Sood, Simon Tannert, Diego Frassinelli et al.59 citations
  2. MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation ParsingStephan Oepen, Omri Abend, Lasha Abzianidze et al.48 citations · our summary
  3. Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsEmanuela Boros, Ahmed Hamdi, Elvys Linhares Pontes et al.42 citations
  4. Are Pretrained Language Models Symbolic Reasoners over Knowledge?Nora Kassner, Benno Krojer, Hinrich Schütze35 citations · our summary
  5. On the Computational Power of Transformers and Its Implications in Sequence ModelingSatwik Bhattamishra, Arkil Patel, Navin Goyal32 citations
  6. Bridging Information-Seeking Human Gaze and Machine Reading ComprehensionJonathan Malmaud, Roger Levy, Yevgeni Berzak30 citations
  7. What Are You Trying to Do? Semantic Typing of Event ProcessesMuhao Chen, Hongming Zhang, Haoyu Wang et al.28 citations
  8. Identifying Incorrect Labels in the CoNLL-2003 CorpusFrederick Reiss, Hong Xu, Bryan Cutler et al.27 citations
  9. Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based DecodingQile Zhu, Haidar Khan, Saleh Soltan et al.26 citations
  10. TaxiNLI: Taking a Ride up the NLU HillPratik Joshi, Somak Aditya, Aalok Sathe et al.22 citations
  11. Continual Adaptation for Efficient Machine CommunicationRobert Hawkins, Minae Kwon, Dorsa Sadigh et al.21 citations
  12. A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysisJacqueline van Arkel, Marieke Woensdregt, Mark Dingemanse et al.20 citations · our summary
  13. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceTianyu Liu, Xin Zheng, Xiaoan Ding et al.20 citations · our summary
  14. Modelling Lexical Ambiguity with Density MatricesFrancois Meyer, Martha Lewis18 citations
  15. Analogies minus analogy test: measuring regularities in word embeddingsLouis Fournier, Emmanuel Dupoux, Ewan Dunbar17 citations
  16. “LazImpa”: Lazy and Impatient neural agents learn to communicate efficientlyMathieu Rita, Rahma Chaabouni, Emmanuel Dupoux17 citations
  17. Representation Learning for Type-Driven CompositionGijs Wijnholds, Mehrnoosh Sadrzadeh, Stephen Clark15 citations
  18. Classifying Syntactic Errors in Learner LanguageLeshem Choshen, Dmitry Nikolaev, Yevgeni Berzak et al.14 citations · our summary

See all 61 papers in CoNLL 2020 — accepted papers →

 Papers with our summary in our library (8)

The most cited first (OpenAlex citations plus our library's).

  1. Classifying Syntactic Errors in Learner LanguageLeshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, et al.2020 · 30 citations
  2. DRS at MRP 2020: Dressing up Discourse Representation Structures as GraphsLasha Abzianidze, Johan Bos, Stephan Oepen2020 · 11 citations
  3. Finding The Right One and Resolving itPayal Khullar, Arghya Bhattacharya, Manish Shrivastava2020 · 2 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Universal Dependencies (2)Reasoning (2)Coreference resolution (1)Part-of-speech tagging (1)Machine translation (1)Language models & pretraining (1)Multilingual & cross-lingual NLP (1)Semantic parsing & meaning representation (1)Bias, fairness & safety (1)Grammatical error correction & learner language (1)English (1)

 Fields

Arts and Humanities (8)Computer Science (8)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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