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Simplifying Lexical Simplification: Do We Need Simplified Corpora? (CROSBI ID 628566)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Glavaš, Goran ; Štajner, Sanja Simplifying Lexical Simplification: Do We Need Simplified Corpora? // 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 (ur.). Peking: Association for Computational Linguistics (ACL), 2015. str. 63-68

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

Povezanost rada

Računarstvo

Poveznice