Paper: Plurality, Negation, and Quantification:Towards Comprehensive Quantifier Scope Disambiguation

ACL ID P13-1007
Title Plurality, Negation, and Quantification:Towards Comprehensive Quantifier Scope Disambiguation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Recent work on statistical quantifier scope disambiguation (QSD) has improved upon earlier work by scoping an arbitrary num- ber and type of noun phrases. No corpus- based method, however, has yet addressed QSD when incorporating the implicit uni- versal of plurals and/or operators such as negation. In this paper we report early, though promising, results for automatic QSD when handling both phenomena. We also present a general model for learning to build partial orders from a set of pair- wise preferences. We give an n log n algo- rithm for finding a guaranteed approxima- tion of the optimal solution, which works very well in practice. Finally, we signifi- cantly improve the performance of the pre- vious model using a rich set of automati- cally generated features.