Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access
| Autor: | Ermakova, L., Bellot, P., Braslavski, P., Kamps, J., Mothe, J., Nurbakova, D., Ovchinnikova, I., SanJuan, E., Candan, K.S., Ionescu, B., Goeuriot, L., Larsen, B., Müller, H., Joly, A., Maistro, M., Piroi, F., Faggioli, G., Ferro, N. |
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| Přispěvatelé: | ILLC (FGw), Language and Computation (ILLC, FNWI/FGw), Université de Brest (UBO), Héritages et Constructions dans le Texte et l'Image (HCTI), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois des Sciences de l'Homme et de la Société (IBSHS), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Ural Federal University [Ekaterinburg] (UrFU), University of Amsterdam [Amsterdam] (UvA), Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Sechenov First Moscow State Medical University, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Distribution, Recherche d'Information et Mobilité (DRIM), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Contextualization
Correctness Computer science Text simplification MULTI DOCUMENTS SUMMARIZATION Information access Scientific literature (Multi-document) summarization Background knowledge Everything DOCUMENT RETRIEVAL Multi-document summarization SCIENTIFIC TEXTS Document retrieval SCIENTIFIC INFORMATION (MULTI-DOCUMENT) SUMMARIZATION Data science CONTEXTUALIZATION INFORMATION RETRIEVAL Clef SCIENTIFIC TEXT SIMPLIFICATION NATURAL LANGUAGE PROCESSING SYSTEMS [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] BACKGROUND KNOWLEDGE INFORMATION ACCESS Scientific text simplification FULLY INTEGRATED |
| Zdroj: | Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, virtual event, September 21–24, 2021 : proceedings, 432-449 STARTPAGE=432;ENDPAGE=449;TITLE=Experimental IR Meets Multilinguality, Multimodality, and Interaction Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Lecture Notes in Computer Science ISBN: 9783030852504 CLEF Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings ; ISBN: 978-3-030-85251-1 12th Conference and Labs of the Evaluation Forum (CLEF 2021) 12th Conference and Labs of the Evaluation Forum (CLEF 2021), Sep 2021, Bucharest, Romania. pp.432-449, ⟨10.1007/978-3-030-85251-1_27⟩ |
| DOI: | 10.1007/978-3-030-85251-1_27⟩ |
| Popis: | Information retrieval has moved from traditional document retrieval in which search is an isolated activity, to modern information access where search and the use of the information are fully integrated. But non-experts tend to avoid authoritative primary sources such as scientific literature 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 addresses 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. |
| Databáze: | OpenAIRE |
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