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J-GLOBAL ID:201802232566866192   Reference number:18A1705508

Comparison of Template- and Neural-based Methods for Sports Summary Generation

スポーツ要約生成におけるテンプレート型手法とニューラル型手法の提案と比較
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Volume: 25  Issue:Page: 357-391  Publication year: Sep. 15, 2018 
JST Material Number: L3934A  ISSN: 1340-7619  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Natural language processing  ,  Information processing in general  ,  Hobby and amusement goods  ,  Neurocomputers 
Reference (38):
  • 赤間怜奈,稲田和明,小林颯介,乾健太郎 (2017). 転移学習を用いた対話応答のスタイル制御. 言語処理学会第 23 回年次大会発表論文集, pp. 338-341.
  • Allen, N. D., Templon, J. R., McNally, P. S., Birnbaum, L., and Hammond, K. (2010). “StatsMonkey: A Data-Driven Sports Narrative Writer.” In AAAI Fall Symposium Series, pp. 2-3.
  • Arnold, A., Nallapati, R., and Cohen, W. W. (2007). “A Comparative Study of Methods for Transductive Transfer Learning.” In Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on, pp. 77-82. IEEE.
  • Bahdanau, D., Cho, K., and Bengio, Y. (2014). “Neural Machine Translation by Jointly Learning to Align and Translate.” arXiv preprint arXiv:1409.0473.
  • Blitzer, J., Dredze, M., Pereira, F., et al. (2007). “Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification.” In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, Vol. 7, pp. 440-447.
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