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        <title>Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination</title>
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    <abstract>In this work we study the challenging task of automatically constructing essays for Chinese college entrance examination where the topic is specified in advance. We explore a sentence extraction framework based on diversified lexical chains to capture coherence and richness. Experimental analysis shows the effectiveness of our approach and reveals the importance of information richness in essay writing.</abstract>
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%0 Conference Proceedings
%T Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination
%A Li, Liunian
%A Wan, Xiaojun
%A Yao, Jin-ge
%A Yan, Siming
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F li-etal-2017-leveraging-diverse
%X In this work we study the challenging task of automatically constructing essays for Chinese college entrance examination where the topic is specified in advance. We explore a sentence extraction framework based on diversified lexical chains to capture coherence and richness. Experimental analysis shows the effectiveness of our approach and reveals the importance of information richness in essay writing.
%U https://aclanthology.org/I17-2060
%P 355-360

Markdown (Informal)

[Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination](https://aclanthology.org/I17-2060) (Li et al., IJCNLP 2017)

• Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination (Li et al., IJCNLP 2017)

ACL

• Liunian Li, Xiaojun Wan, Jin-ge Yao, and Siming Yan. 2017. Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 355–360, Taipei, Taiwan. Asian Federation of Natural Language Processing.