Simplifying Lexical Simplification: Do We Need Simplified Corpora? (CROSBI ID 628566)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Glavaš, Goran ; Štajner, Sanja
engleski
Simplifying Lexical Simplification: Do We Need Simplified Corpora?
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.
text simplification; unsupervised lexical simplification
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Podaci o prilogu
63-68.
2015.
objavljeno
Podaci o matičnoj publikaciji
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)
978-1-941643-73-0
Podaci o skupu
53rd Annual Meeting of the Association for Computational Linguistics
predavanje
26.07.2015-31.07.2015
Peking, Kina