KOVÁŘ, Vojtěch, Miloš JAKUBÍČEK and Aleš HORÁK. On Evaluation of Natural Language Processing Tasks: Is Gold Standard Evaluation Methodology a Good Solution?. Online. In Jaap van den Herik and Joaquim Filipe. Proceedings of the 8th International Conference on Agents and Artificial Intelligence. Rome: SCITEPRESS, 2016. p. 540-545. ISBN 978-989-758-172-4. [citováno 2024-04-24]
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Basic information
Original name On Evaluation of Natural Language Processing Tasks: Is Gold Standard Evaluation Methodology a Good Solution?
Name in Czech K evaluaci úkolů zpracování přirozeného jazyka: je metodologie používající "gold standardy" dobrým řešením?
Authors KOVÁŘ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution) and Aleš HORÁK (203 Czech Republic, belonging to the institution)
Edition Rome, Proceedings of the 8th International Conference on Agents and Artificial Intelligence, p. 540-545, 6 pp. 2016.
Publisher SCITEPRESS
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
RIV identification code RIV/00216224:14330/16:00087757
Organization unit Faculty of Informatics
ISBN 978-989-758-172-4
Keywords (in Czech) zpracování přirozeného jazyka; aplikace; vyhodnocování; evaluace
Keywords in English Natural Language Processing; Applications; Evaluation
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Vojtěch Kovář, Ph.D., učo 139915. Changed: 7/3/2016 17:20.
Abstract
The paper discusses problems in state of the art evaluation methods used in natural language processing (NLP). Usually, some form of gold standard data is used for evaluation of various NLP tasks, ranging from morphological annotation to semantic analysis. We discuss problems and validity of this type of evaluation, for various tasks, and illustrate the problems on examples. Then we propose using application-driven evaluations, wherever it is possible. Although it is more expensive, more complicated and not so precise, it is the only way to find out if a particular tool is useful at all.
Abstract (in Czech)
Práce se zabývá problémy v metodologii vyhodnocování v oblasti zpracování přirozeného jazyka (NLP). Většinou jsou pro takové vyhodnocování používána tzv. "gold standard" data. Diskutujeme problémy a validitu tohoto přístupu a navrhujeme aplikačně orientovanou alternativu.
Links
GA15-13277S, research and development projectName: Hyperintensionální logika pro analýzu přirozeného jazyka
Investor: Czech Science Foundation
7F14047, research and development projectName: Harvesting big text data for under-resourced languages (Acronym: HaBiT)
Investor: Ministry of Education, Youth and Sports of the CR
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