Re-Evaluating Syntax-Based Negation Scope Resolution

Author:

YOSHIDA Asahi1,KATO Yoshihide2,MATSUBARA Shigeki2

Affiliation:

1. Graduate School of Informatics, Nagoya University

2. Information and Communications, Nagoya University

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

Reference19 articles.

1. [1] J. Read, E. Velldal, L. Øvrelid, and S. Oepen, “UiO1: Constituent-based discriminative ranking for negation resolution,” The 1st Joint Conference on Lexical and Computational Semantics, Montréal, Canada, pp.310-318, June 2012.

2. [2] J. Carrillo de Albornoz, L. Plaza, A. Díaz, and M. Ballesteros, “UCM-I: A rule-based syntactic approach for resolving the scope of negation,” The 1st Joint Conference on Lexical and Computational Semantics, Montréal, Canada, pp.282-287, June 2012.

3. [3] A. Abu-Jbara and D. Radev, “UMichigan: A conditional random field model for resolving the scope of negation,” The 1st Joint Conference on Lexical and Computational Semantics, Montréal, Canada, pp.328-334, June 2012.

4. [4] J.P. White, “UWashington: Negation resolution using machine learning methods,” The 1st Joint Conference on Lexical and Computational Semantics, Montréal, Canada, pp.335-339, June 2012.

5. [5] R. Morante and E. Blanco, “*SEM 2012 shared task: Resolving the scope and focus of negation,” The 1st Joint Conference on Lexical and Computational Semantics, Montréal, Canada, pp.265-274, June 2012.

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