Naslov
Simplifying Lexical Simplification: Do We Need Simplified Corpora?

Autori
Glavaš, Goran ; Štajner, Sanja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing / Zong, Chengqing ; Strube, Michael - Peking : Association for Computational Linguistics (ACL), 2015, 63-68

ISBN
978-1-941643-73-0

Skup
53rd Annual Meeting of the Association for Computational Linguistics

Mjesto i datum
Peking, Kina, 26.07.2015. - 31.07.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
text simplification; unsupervised lexical simplification

Sažetak
Simplification of lexically complex texts, by replacing complex words with their simpler synonyms, helps non-native speakers, children, and language-impaired people understand text better. Recent lexical simplification methods rely on manually simplified corpora, which are expensive and time-consuming to build. We present an unsupervised approach to lexical simplification that makes use of the most recent word vector representations and requires only regular corpora. Results of both automated and human evaluation show that our simple method is as effective as systems that rely on simplified corpora.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA