UWB at SemEval 2014 and 2016
| dc.contributor.author | Brychcín, Tomáš | |
| dc.contributor.author | Hercig, Tomáš | |
| dc.contributor.author | Svoboda, Lukáš | |
| dc.contributor.author | Konkol, Michal | |
| dc.contributor.editor | Steinberger, Josef | |
| dc.contributor.editor | Zíma, Martin | |
| dc.contributor.editor | Fiala, Dalibor | |
| dc.contributor.editor | Dostal, Martin | |
| dc.contributor.editor | Nykl, Michal | |
| dc.date.accessioned | 2017-10-09T11:00:39Z | |
| dc.date.available | 2017-10-09T11:00:39Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract-translated | International Workshop on Semantic Evaluation (SemEval) is an on-going series of evaluations of NLP (Natural Language Processing) algorithms, organized by Association for Computational Linguistics (ACL), the internation-al scientific society which hold the major NLP conferences. The evaluations are intended to explore different aspects of meaning in a natural language. The re-sults of NLP algorithms are compared with human judgments. The submitted systems from research teams across the world are compared in terms of perfor-mance. Our research team actively participates in the SemEval exercises. This paper summarizes our results in the area of semantic textual similarity and as-pect-based sentiment analysis. In 2014 and 2016 our systems were among the best performing in both mentioned tasks. | en |
| dc.format | 5 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | STEINBERGER, Josef ed.; ZÍMA, Martin ed.; FIALA, Dalibor ed.; DOSTAL, Martin ed.; NYKL, Michal ed. Data a znalosti 2017: sborník konference, Plzeň, Hotel Angelo 5. - 6. října 2017. 1. vyd. Plzeň: Západočeská univerzita v Plzni, 2017, s. 111-115. ISBN 978-80-261-0720-0. | cs |
| dc.identifier.isbn | 978-80-261-0720-0 | |
| dc.identifier.uri | http://hdl.handle.net/11025/26346 | |
| dc.language.iso | en | en |
| dc.publisher | Západočeská univerzita v Plzni | cs |
| dc.rights | © Západočeská univerzita v Plzni | cs |
| dc.rights.access | openAccess | en |
| dc.subject | SemEval | cs |
| dc.subject | sémantická textová podobnost | cs |
| dc.subject | aspektová analýza sentimentu | cs |
| dc.subject | distribuční sémantika | cs |
| dc.subject.translated | SemEval | en |
| dc.subject.translated | semantic textual similarity | en |
| dc.subject.translated | aspect-based sentiment analysis | en |
| dc.subject.translated | distributional semantics | en |
| dc.title | UWB at SemEval 2014 and 2016 | cs |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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