Dear all,
Please consider submitting your work to BIONLP 2023 and Shared Tasks @ ACL 2023 aclweb.org/aclwiki/BioNLP_Workshop
Important dates:
April 24, 2023: Workshop Paper Due Date. Submission site: softconf.com/acl2023/BioNLP2023 May 29, 20232: Notification of Acceptance June 6, 2023: Camera-ready papers due June 12, 2023: Pre-recorded video due BioNLP 2023 Workshop at ACL, July 13, 2023, Toronto, Cana
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. The workshop is running every year since 2002 and continues getting stronger. BioNLP welcomes and encourages work on languages other than English, and 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. The interest to biomedical language has broadened significantly due to the COVID-19 pandemic and continues to grow: as access to information becomes easier and more people generate and access health-related text, it becomes clearer that only language technologies can enable and support adequate use of the biomedical text.
BioNLP 2023 will be particularly interested in language processing that supports DEIA (Diversity, Equity, Inclusion and Accessibility). The work on detection and mitigation of bias and misinformation continues to be of interest. Research in languages other than English, particularly, under-represented languages, and health disparities are always of interest to BioNLP.
Other active areas of research include, but are not limited to:
Tangible results of biomedical language processing applications; 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 & data augmentation; Translating NLP research into practice; Getting reproducible results.
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