Chinese Couplet Generation with Neural Network Structures
PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1, pp.2347-2357
01 Jan 2016
Part of the unique cultural heritage of China is the Chinese couplet. Given a sentence (namely an antecedent clause), people reply with another sentence (namely a subsequent clause) equal in length. Moreover, a special phenomenon is that corresponding characters from the same position in the two clauses match each other by following certain constraints on semantic and/or syntactic relatedness. Automatic couplet generation by computer is viewed as a difficult problem and has not been fully explored. In this paper, we formulate the task as a natural language generation problem using neural network structures. Given the issued antecedent clause, the system generates the subsequent clause via sequential language modeling. To satisfy special characteristics of couplets, we incorporate the attention mechanism and polishing schema into the encoding-decoding process. The couplet is generated incrementally and iteratively. A comprehensive evaluation, using perplexity and BLEU measurements as well as human judgments, has demonstrated the effectiveness of our proposed approach.
- Chinese Couplet Generation with Neural Network Structures
- Rui Yan - Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R ChinaCheng-Te Li - Acad Sinica, Taipei 11529, TaiwanXiaohua Hu - Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USAMing Zhang - Peking Univ, Dept Comp Sci, Beijing 100871, Peoples R China
- K Erk (Editor)N A Smith (Editor)
- PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1, pp.2347-2357
- 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 54th
- Assoc Computational Linguistics-Acl
- 11
- 61272343; 61472006 / National Natural Science Foundation of China (NSFC) 2014CB340405 / National Basic Research Program (973 Program); National Basic Research Program of China 20130001110032 / Doctoral Program of Higher Education of China; Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP)
- Conference proceeding
- English
- Information Science (Informatics)
- 991019170580604721