Difference between revisions of "BioNLP 2023"
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[[SIGBIOMED]] | [[SIGBIOMED]] | ||
− | <font size="4"><b>BIONLP | + | <font size="4"><b>BIONLP 2022 @ ACL 2022</b></font> |
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+ | ===Submission Types & Requirements === | ||
+ | |||
+ | Following the previous conferences, BioNLP 2022 will be open for two types of submissions: long and short papers. | ||
+ | Please follow ACL guidelines https://acl-org.github.io/ACLPUB/formatting.html and templates: https://github.com/acl-org/ACLPUB/tree/master/templates | ||
+ | |||
+ | |||
+ | ===WORKSHOP OVERVIEW AND SCOPE=== | ||
+ | |||
+ | The BioNLP workshop associated with the ACL SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. Despite, or maybe due to reaching maturity, the field of Biomedical NLP continues getting stronger. | ||
+ | BioNLP welcomes and encourages inclusion and diversity. BioNLP truly encompasses the breadth of the domain and brings together researchers in bio- and clinical NLP from all over the world. The workshop will continue presenting work on a broad and interesting range of topics in NLP. | ||
+ | |||
+ | BioNLP 2022 will be particularly interested in work on detection and mitigation of bias, BioNLP research in languages other than English, particularly, under-represented languages, and health disparities. | ||
+ | |||
+ | Other active areas of research include, but are not limited to: | ||
+ | * Entity identification and normalization (linking) for a broad range of semantic categories; | ||
+ | * Extraction of complex relations and events; | ||
+ | * Discourse analysis; | ||
+ | * Anaphora/coreference resolution; | ||
+ | * Text mining / Literature based discovery; | ||
+ | * Summarization; | ||
+ | * Τext simplification; | ||
+ | * Question Answering; | ||
+ | * Resources and strategies for system testing and evaluation; | ||
+ | * Infrastructures and pre-trained language models for biomedical NLP / Processing and annotation platforms; | ||
+ | * Development of synthetic data; | ||
+ | * Translating NLP research into practice; | ||
+ | * Getting reproducible results. | ||
+ | |||
+ | <!-- | ||
===Program === | ===Program === | ||
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Please check the website for details on the tasks, datasets, and submission guidelines: https://sites.google.com/view/mediqa2021 | Please check the website for details on the tasks, datasets, and submission guidelines: https://sites.google.com/view/mediqa2021 | ||
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===Program Committee=== | ===Program Committee=== | ||
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* Qingyu Chen, US National Library of Medicine | * Qingyu Chen, US National Library of Medicine | ||
* Fenia Christopoulou, National Centre for Text Mining and University of Manchester, UK | * Fenia Christopoulou, National Centre for Text Mining and University of Manchester, UK | ||
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* Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA | * Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA | ||
* Brian Connolly, Kroger Digital, USA | * Brian Connolly, Kroger Digital, USA | ||
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* Nhung Nguyen, The University of Manchester, UK | * Nhung Nguyen, The University of Manchester, UK | ||
* Karen O'Connor, University of Pennsylvania, USA | * Karen O'Connor, University of Pennsylvania, USA | ||
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* Yifan Peng, Cornell Medical School, USA | * Yifan Peng, Cornell Medical School, USA | ||
* Laura Plaza, UNED, Madrid, Spain | * Laura Plaza, UNED, Madrid, Spain | ||
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* Pierre Zweigenbaum, LIMSI - CNRS, France | * Pierre Zweigenbaum, LIMSI - CNRS, France | ||
+ | <!-- | ||
===Shared Task Program Committee=== | ===Shared Task Program Committee=== | ||
* Spandana Balumuri, National Institute of Technology Karnataka, Surathkal, India | * Spandana Balumuri, National Institute of Technology Karnataka, Surathkal, India | ||
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* Shweta Yadav, NLM/NIH | * Shweta Yadav, NLM/NIH | ||
* Yuhao Zhang, Stanford University | * Yuhao Zhang, Stanford University | ||
− | * Wei Zhu, East China Normal University, Shanghai | + | * Wei Zhu, East China Normal University, Shanghai --> |
− | + | earch in languages other than English | |
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Revision as of 21:27, 20 November 2021
BIONLP 2022 @ ACL 2022
Submission Types & Requirements
Following the previous conferences, BioNLP 2022 will be open for two types of submissions: long and short papers. Please follow ACL guidelines https://acl-org.github.io/ACLPUB/formatting.html and templates: https://github.com/acl-org/ACLPUB/tree/master/templates
WORKSHOP OVERVIEW AND SCOPE
The BioNLP workshop associated with the ACL SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. Despite, or maybe due to reaching maturity, the field of Biomedical NLP continues getting stronger. BioNLP welcomes and encourages inclusion and diversity. BioNLP truly encompasses the breadth of the domain and brings together researchers in bio- and clinical NLP from all over the world. The workshop will continue presenting work on a broad and interesting range of topics in NLP.
BioNLP 2022 will be particularly interested in work on detection and mitigation of bias, BioNLP research in languages other than English, particularly, under-represented languages, and health disparities.
Other active areas of research include, but are not limited to:
- Entity identification and normalization (linking) for a broad range of semantic categories;
- Extraction of complex relations and events;
- Discourse analysis;
- Anaphora/coreference resolution;
- Text mining / Literature based discovery;
- Summarization;
- Τext simplification;
- Question Answering;
- Resources and strategies for system testing and evaluation;
- Infrastructures and pre-trained language models for biomedical NLP / Processing and annotation platforms;
- Development of synthetic data;
- Translating NLP research into practice;
- Getting reproducible results.
earch in languages other than English
Organizers
Dina Demner-Fushman, US National Library of Medicine Kevin Bretonnel Cohen, University of Colorado School of Medicine Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan and University of Manchester, UK
Dual submission policy
Papers may NOT be submitted to the BioNLP 2021 workshop if they are or will be concurrently submitted to another meeting or publication.