Pregled bibliografske jedinice broj: 1124416
Lexical Substitution for Evaluating Compositional Distributional Models
Lexical Substitution for Evaluating Compositional Distributional Models // Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
New Orleans (LA), Sjedinjene Američke Države, 2018. str. 206-211 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Lexical Substitution for Evaluating Compositional Distributional Models
Autori
Buljan, Maja ; Pado, Sebastian ; Šnajder, Jan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
/ - , 2018, 206-211
Skup
The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Mjesto i datum
New Orleans (LA), Sjedinjene Američke Države, 01.06.2018. - 06.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Compositional Distributional Semantic Models, lexical substitution
Sažetak
Compositional Distributional Semantic Models (CDSMs) model the meaning of phrases and sentences in vector space. They have been predominantly evaluated on limited, artificial tasks such as semantic sentence similarity on hand-constructed datasets. This paper argues for lexical substitution (LexSub) as a means to evaluate CDSMs. LexSub is a more natural task, enables us to evaluate meaning composition at the level of individual words, and provides a common ground to compare CDSMs with dedicated LexSub models. We create a LexSub dataset for CDSM evaluation from a corpus with manual “all-words” LexSub annotation. Our experiments indicate that the Practical Lexical Function CDSM outperforms simple component-wise CDSMs and performs on par with the context2vec LexSub model using the same context.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb