FISER: An Effective Method for Detecting Interactions between Topic Persons

Author:

Chang Yung-Chun,Chuang Pi-Hua,Chen Chien Chin,Hsu Wen-Lian

Publisher

Springer Berlin Heidelberg

Reference14 articles.

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2. Banko, M., Etzioni, O.: The tradeoffs between open and traditional relation extraction. In: Proceedings of the 46th Annual Meeting on Association for Computational Linguistics on Human Language Technologies, pp. 28–36 (2008)

3. Berger, A.L., Pietra, V.J.D., Pietra, S.A.D.: A maximum entropy approach to natural language processing. Computational Linguistics 22, 39–71 (1996)

4. Chen, C.C., Chen, M.C.: TSCAN: A content anatomy approach to temporal topic summarization. IEEE Transactions on Knowledge and Data Engineering 24, 170–183 (2012)

5. Hirano, T., Asano, H., Matsuo, Y., Kikui, G.: Recognizing relation expression between named entities based on inherent and context-dependent features of relational words. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 409–417 (2010)

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