Natural language generation using automatically constructed lexical resources

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

One of the practical targets of neural network research is to enable conversation ability with humans. This paper proposes a novel natural language generation method using automatically constructed lexical resources. In the proposed method, two lexical resources are employed: Kyoto University's case frame data and Google N-gram data. Word frequency in case frame can be regarded to be obtained by Hebb's learning rule. The co-occurence frequency of Google N-gram can be considered to be gained by an associative memory. The proposed method uses words as an input. It generates a sentence from case frames, using Google N-gram as to consider co-occurrence frequency between words. We only use lexical resources which are constructed automatically. Therefore the proposed method has high coverage compared to the other methods using manually constructed templates. We carried out experiments to examine the quality of generated sentences and obtained satisfactory results.

本文言語English
ホスト出版物のタイトル2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program
ページ980-987
ページ数8
DOI
出版ステータスPublished - 2011 10 24
イベント2011 International Joint Conference on Neural Network, IJCNN 2011 - San Jose, CA, United States
継続期間: 2011 7 312011 8 5

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks

Other

Other2011 International Joint Conference on Neural Network, IJCNN 2011
CountryUnited States
CitySan Jose, CA
Period11/7/3111/8/5

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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