A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling-Reference-Cited by-同舟云学术

A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling

Published:2016 Issue:2 Volume:E99.D Page:514-524
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

NAKAJIMA Yoko¹,PTASZYNSKI Michal¹,HONMA Hirotoshi²,MASUI Fumito¹

Affiliation:

1. Department of Computer Science, Kitami Institute of Technology

2. Department of Information Engineering, National Institute of Technology, Kushiro College

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7115/_pdf

Reference18 articles.

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2. [2] N. Kanhabua, R. Blanco, and M. Matthews, “Ranking related news predictions,” Proc. 34th international ACM SIGIR conference on Research and development in Information Retrieval, pp.755-764, ACM, 2011.

3. [3] K. Kanazawa, A. Jatowt, S. Oyama, and K. Tanaka, “Extracting explicit and implicit future-related information from the web (in japanese),” DEIM Forum 2010, pp.A9-1, 2010.

4. [4] O. Alonso, J. Strötgen, R. Baeza-Yates, and M. Gertz, “Temporal information retrieval: Challenges and opportunities,” TWAW, vol.11, pp.1-8, 2011.

5. [5] K. Kanazawa, A. Jatowt, and K. Tanaka, “Improving retrieval of future-related information in text collections,” IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp.278-283, IEEE, 2011.

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