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CoNLL 2019 — accepted papers

CoNLL 2019 is the 2019 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 113 papers of it; our library holds 5 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. Pretraining-Based Natural Language Generation for Text SummarizationHaoyu Zhang, Jingjing Cai, Jianjun Xu et al.214 citations
  2. Learning Dense Representations for Entity RetrievalDaniel Gillick, Sayali Kulkarni, Larry Lansing et al.201 citations · our summary
  3. Do Massively Pretrained Language Models Make Better Storytellers?Abigail See, Aneesh Pappu, Rohun Saxena et al.134 citations
  4. Code-Switched Language Models Using Neural Based Synthetic Data from Parallel SentencesGenta Indra Winata, Andrea Madotto, Chien-Sheng Wu et al.89 citations
  5. A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingAndreas Hanselowski, Christian Stab, Claudia Schulz et al.84 citations · our summary
  6. Studying Generalisability across Abusive Language Detection DatasetsSteve Durairaj Swamy, Anupam Jamatia, Björn Gambäck84 citations
  7. On Model Stability as a Function of Random SeedPranava Madhyastha, Rishabh Jain72 citations
  8. Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer ReviewsJan Kocoń, Piotr Miłkowski, Monika Zaśko-Zielińska68 citations

All accepted papers (113)

The most cited first; 5 with our summary link to their page here, the others to the original.

  1. Pretraining-Based Natural Language Generation for Text SummarizationHaoyu Zhang, Jingjing Cai, Jianjun Xu et al.214 citations
  2. Learning Dense Representations for Entity RetrievalDaniel Gillick, Sayali Kulkarni, Larry Lansing et al.201 citations · our summary
  3. Do Massively Pretrained Language Models Make Better Storytellers?Abigail See, Aneesh Pappu, Rohun Saxena et al.134 citations
  4. Code-Switched Language Models Using Neural Based Synthetic Data from Parallel SentencesGenta Indra Winata, Andrea Madotto, Chien-Sheng Wu et al.89 citations
  5. A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingAndreas Hanselowski, Christian Stab, Claudia Schulz et al.84 citations · our summary
  6. Studying Generalisability across Abusive Language Detection DatasetsSteve Durairaj Swamy, Anupam Jamatia, Björn Gambäck84 citations
  7. On Model Stability as a Function of Random SeedPranava Madhyastha, Rishabh Jain72 citations
  8. Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer ReviewsJan Kocoń, Piotr Miłkowski, Monika Zaśko-Zielińska68 citations
  9. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose et al.66 citations · our summary
  10. MRP 2019: Cross-Framework Meaning Representation ParsingStephan Oepen, Omri Abend, Jan Hajic et al.63 citations
  11. A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act ClassificationRuizhe Li, Chenghua Lin, Matthew Collinson et al.59 citations
  12. CogniVal: A Framework for Cognitive Word Embedding EvaluationNora Hollenstein, Antonio de la Torre, Nicolas Langer et al.59 citations
  13. Federated Learning of N-Gram Language ModelsMingqing Chen, Ananda Theertha Suresh, Rajiv Mathews et al.57 citations
  14. Deep Structured Neural Network for Event Temporal Relation ExtractionRujun Han, I-Hung Hsu, Mu Yang et al.56 citations
  15. Large-Scale Representation Learning from Visually Grounded Untranscribed SpeechGabriel Ilharco, Yuan Zhang, Jason Baldridge56 citations
  16. Evidence Sentence Extraction for Machine Reading ComprehensionHai Wang, Dian Yu, Kai Sun et al.51 citations
  17. Named Entity Recognition with Partially Annotated Training DataStephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai et al.47 citations
  18. Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and ClusteringJ. Edward Hu, Abhinav Singh, Nils Holzenberger et al.43 citations
  19. Automated Pyramid Summarization EvaluationYanjun Gao, Chen Sun, Rebecca J. Passonneau38 citations

See all 113 papers in CoNLL 2019 — accepted papers →

 Papers with our summary in our library (5)

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

  1. Learning Dense Representations for Entity RetrievalDaniel Gillick, Sayali Kulkarni, Larry Lansing, et al.2019 · 304 citations
  2. A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingAndreas Hanselowski, Christian Stab, Claudia Schulz, et al.2019 · 147 citations
  3. Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingSamuel Broscheit2019 · 139 citations
  4. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.2019 · 122 citations
  5. The ERG at MRP 2019: Radically Compositional Semantic DependenciesStephan Oepen, Dan Flickinger2019 · 18 citations

 Top topics

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

Named entity recognition (1)Evaluation & benchmarks (1)Reasoning (1)Information retrieval & search (1)English (1)

 Fields

Arts and Humanities (5)Computer Science (5)Social Sciences (1)

 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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