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http://elar.urfu.ru/handle/10995/131266
Title: | Text Simplification for Scientific Information Access: CLEF 2021 SimpleText Workshop |
Authors: | Ermakova, L. Bellot, P. Braslavski, P. Kamps, J. Mothe, J. Nurbakova, D. Ovchinnikova, I. San-Juan, E. |
Issue Date: | 2022 |
Publisher: | Springer Science and Business Media Deutschland GmbH |
Citation: | Ermakova, L, Bellot, P, Braslavski, P, Kamps, J, Mothe, J, Nurbakova, D, Ovchinnikova, I & San-Juan, E 2021, Text Simplification for Scientific Information Access: CLEF 2021 SimpleText Workshop. в D Hiemstra, M-F Moens, J Mothe, R Perego, M Potthast & F Sebastiani (ред.), Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12657 LNCS, Springer, стр. 583-592, 43rd European Conference on Information Retrieval, ECIR 2021, Virtual, Online, 28/03/2021. https://doi.org/10.1007/978-3-030-72240-1_68 Ermakova, L., Bellot, P., Braslavski, P., Kamps, J., Mothe, J., Nurbakova, D., Ovchinnikova, I., & San-Juan, E. (2021). Text Simplification for Scientific Information Access: CLEF 2021 SimpleText Workshop. в D. Hiemstra, M-F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Ред.), Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings (стр. 583-592). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12657 LNCS). Springer. https://doi.org/10.1007/978-3-030-72240-1_68 |
Abstract: | Modern information access systems hold the promise to give users direct access to key information from authoritative primary sources such as scientific literature, but non-experts tend to avoid these sources due to their complex language, internal vernacular, or lacking prior background knowledge. Text simplification approaches can remove some of these barriers, thereby avoiding that users rely on shallow information in sources prioritizing commercial or political incentives rather than the correctness and informational value. The CLEF 2021 SimpleText track will address the opportunities and challenges of text simplification approaches to improve scientific information access head-on. We aim to provide appropriate data and benchmarks, starting with pilot tasks in 2021, and create a community of NLP and IR researchers working together to resolve one of the greatest challenges of today. © 2021, Springer Nature Switzerland AG. |
Keywords: | (MULTI-DOCUMENT) SUMMARIZATION BACKGROUND KNOWLEDGE CONTEXTUALIZATION SCIENTIFIC TEXT SIMPLIFICATION ARTIFICIAL INTELLIGENCE COMPUTER SCIENCE COMPUTERS BACK-GROUND KNOWLEDGE INFORMATION ACCESS SYSTEMS PILOT TASKS PRIMARY SOURCES SCIENTIFIC INFORMATION SCIENTIFIC LITERATURE INFORMATION RETRIEVAL |
URI: | http://elar.urfu.ru/handle/10995/131266 |
Access: | info:eu-repo/semantics/openAccess |
Conference name: | 28 March 2021 through 1 April 2021 |
Conference date: | 43rd European Conference on Information Retrieval, ECIR 2021 |
RSCI ID: | 46791063 |
SCOPUS ID: | 85107324101 |
PURE ID: | 22094688 5702a370-121c-46b5-9302-f07a748c9fd9 |
ISSN: | 0302-9743 |
ISBN: | 978-303072239-5 |
DOI: | 10.1007/978-3-030-72240-1_68 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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