文章基本信息

标题：An Automated Complex Word Identification from Text: A Survey
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作者：Jaspreet Singh ; Gurvinder Singh ; Rajinder Singh Virk 等
期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2017
卷号：10
期号：3
页码：612-617
语种：English
出版社：Oriental Scientific Publishing Company
摘要：Complex Word Identification (CWI) is the process of locating difficult words from a given sentence. The aim of automated CWI system is to make non-native English user understand the meaning of target word in the sentence. CWI systems assist second language learners and dyslexic users through simplification of text. This study introduces the CWI process and investigates the performance of twenty systems submitted in the SemEval -2016 for CWI. The G-score measure which is harmonic mean of accuracy and recall is taken for the performance evaluation of systems. This paper explores twenty CWI systems and identifies that why sv000gg system outperformed with highest G-score as 0.773 and 0.774 for the two respective submissions.
关键词：CWI ; Lexical Simplification ; Textual Entailment ; Text Classification