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BioNLP Shared Task Workshop 2019 — accepted papers

BioNLP Shared Task Workshop 2019 is the 2019 edition of the BioNLP Shared Task Workshop, held in Florence, Italy, August 2019 (publisher: Association for Computational Linguistics). OpenAlex lists 59 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 59papers in the proceedings 3works in our library 1,938citations of these works Florence, Italywhere it was held August 2019when

Most cited papers

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

  1. Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsYifan Peng, Shankai Yan, Zhiyong Lu868 citations · our summary
  2. ScispaCy: Fast and Robust Models for Biomedical Natural Language ProcessingMark Neumann, Daniel King, Iz Beltagy et al.488 citations · our summary
  3. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question AnsweringAsma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman116 citations · our summary
  4. Two-stage Federated Phenotyping and Patient Representation LearningDianbo Liu, Dmitriy Dligach, Timothy Miller98 citations
  5. Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsZenan Zhai, Dat Quoc Nguyen, Saber Akhondi et al.40 citations
  6. Deep Contextualized Biomedical Abbreviation ExpansionQiao Jin, Jinling Liu, Xinghua Lu33 citations
  7. ChiMed: A Chinese Medical Corpus for Question AnsweringYuanhe Tian, Weicheng Ma, Fei Xia et al.31 citations
  8. Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer LearningHassan Alhuzali, Sophia Ananiadou29 citations
  9. Transfer Learning for Causal Sentence DetectionManolis Kyriakakis, Ion Androutsopoulos, Artur Saudabayev et al.26 citations
  10. PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge DistillationWei Zhu, Xiaofeng Zhou, Keqiang Wang et al.25 citations

All accepted papers (59)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsYifan Peng, Shankai Yan, Zhiyong Lu868 citations · our summary
  2. ScispaCy: Fast and Robust Models for Biomedical Natural Language ProcessingMark Neumann, Daniel King, Iz Beltagy et al.488 citations · our summary
  3. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question AnsweringAsma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman116 citations · our summary
  4. Two-stage Federated Phenotyping and Patient Representation LearningDianbo Liu, Dmitriy Dligach, Timothy Miller98 citations
  5. Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsZenan Zhai, Dat Quoc Nguyen, Saber Akhondi et al.40 citations
  6. Deep Contextualized Biomedical Abbreviation ExpansionQiao Jin, Jinling Liu, Xinghua Lu33 citations
  7. ChiMed: A Chinese Medical Corpus for Question AnsweringYuanhe Tian, Weicheng Ma, Fei Xia et al.31 citations
  8. Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer LearningHassan Alhuzali, Sophia Ananiadou29 citations
  9. Transfer Learning for Causal Sentence DetectionManolis Kyriakakis, Ion Androutsopoulos, Artur Saudabayev et al.26 citations
  10. PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge DistillationWei Zhu, Xiaofeng Zhou, Keqiang Wang et al.25 citations
  11. NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention ModelLung-Hao Lee, Yi Lu, Po-Han Chen et al.23 citations
  12. Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patternsJulien Fauqueur, Ashok Thillaisundaram, Theodosia Togia22 citations
  13. A Comparison of Word-based and Context-based Representations for Classification Problems in Health InformaticsAditya Joshi, Sarvnaz Karimi, Ross Sparks et al.20 citations
  14. Contributions to Clinical Named Entity Recognition in PortugueseFábio Lopes, César Teixeira, Hugo Gonçalo Oliveira20 citations
  15. A Paraphrase Generation System for EHR Question AnsweringSarvesh Soni, Kirk Roberts18 citations
  16. BioRelEx 1.0: Biological Relation Extraction BenchmarkHrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan et al.17 citations
  17. LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity RecognitionAndre Lamurias, Francisco M Couto17 citations
  18. DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical DomainYichong Xu, Xiaodong Liu, Chunyuan Li et al.14 citations
  19. Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node DescriptorsSotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos et al.14 citations
  20. Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question EntailmentHemant Pugaliya, Karan Saxena, Shefali Garg et al.12 citations
  21. ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering SystemAnumeha Agrawal, Rosa Anil George, Selvan Suntiha Ravi et al.11 citations
  22. MoNERo: a Biomedical Gold Standard Corpus for the Romanian LanguageMaria Mitrofan, Verginica Barbu Mititelu, Grigorina Mitrofan11 citations
  23. WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language InferenceZhaofeng Wu, Yan Song, Sicong Huang et al.11 citations
  24. Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives?Zhaodong Yan, Serena Jeblee, Graeme Hirst10 citations
  25. Classifying the reported ability in clinical mobility descriptionsDenis Newman-Griffis, Ayah Zirikly, Guy Divita et al.10 citations

See all 59 papers in BioNLP Shared Task Workshop 2019 — accepted papers →

 Papers with our summary in our library (3)

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

  1. Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsYifan Peng, Shankai Yan, Zhiyong Lu2019 · 1,082 citations
  2. ScispaCy: Fast and Robust Models for Biomedical Natural Language ProcessingMark Neumann, Daniel King, Iz Beltagy, et al.2019 · 677 citations
  3. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question AnsweringAsma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman2019 · 179 citations

 Top topics

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

Question answering (1)Information extraction (1)Evaluation & benchmarks (1)

 Fields

Arts and Humanities (3)Biochemistry, Genetics and Molecular Biology (3)Computer Science (3)

 Top authors

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

🧑‍🔬Yifan Peng1 work here · 1,082 citations🧑‍🔬Zhiyong Lu1 work here · 1,082 citations🧑‍🔬Iz Beltagy1 work here · 677 citations🧑‍🔬Mark Neumann1 work here · 677 citations🧑‍🔬Waleed Ammar1 work here · 677 citations🧑‍🔬Asma Ben Abacha1 work here · 179 citations🧑‍🔬Chaitanya Shivade1 work here · 179 citations🧑‍🔬Dina Demner-Fushman1 work here · 179 citations

 Top institutions

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

🏛️National Institutes of HealthBethesda · United States2 works here🔬IBM Research - AlmadenSan Jose · United States1 work here🔬National Center for Biotechnology InformationBethesda · United States1 work here

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

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