Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination

Liunian Li, Xiaojun Wan, Jin-ge Yao, Siming Yan


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.
Anthology ID:
I17-2060
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Editors:
Greg Kondrak, Taro Watanabe
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
355–360
Language:
URL:
https://aclanthology.org/I17-2060
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination (Li et al., IJCNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/I17-2060.pdf
Note:
 I17-2060.Notes.pdf
Dataset:
 I17-2060.Datasets.zip