UserNLP’22: 2022 International Workshop on User-centered Natural Language Processing
Pages 1176 - 1177
Abstract
We report goals, paper submissions, keynotes, and organizations of this UserNLP workshop. User-centered NLP can fill these gaps by explicitly considering stylistic variations across individuals or groups of individuals and focusing on user-level modeling tasks. While traditional NLP tasks tend to focus on single documents (e.g., sentiment analysis), user-centered NLP aims to make inferences for individual users, on the basis of one or more documents associated with that user. This workshop aims to create a platform where researchers can present rising challenges in building user-centered NLP models and discuss shared issues across multidisciplinary fields. We have received 11 submissions and accepted 6 of the submissions, which were reviewed by our 19 program committee members. The program invited four keynote talks from both academia and industry. We appreciate the valuable contributions from the organizing committee, program committee, keynote speakers, and the manuscript authors.
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- UserNLP’22: 2022 International Workshop on User-centered Natural Language Processing
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Published In
April 2022
1338 pages
ISBN:9781450391306
DOI:10.1145/3487553
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 August 2022
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- Extended-abstract
- Research
- Refereed limited
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WWW '22
Sponsor:
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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%
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