Going beyond traditional QA systems: challenges and keys in opinion question answering

Authors:
Alexandra Balahur;Ester Boldrini;Andrés Montoyo;Patricio Martínez-Barco
Affiliations:
University of Alicante;University of Alicante;University of Alicante;University of Alicante
Venue:
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Year:
2010

Citing 6
Cited 2

Discovery of inference rules for question-answering

Natural Language Engineering
Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Recognizing contextual polarity in phrase-level sentiment analysis

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-perspective question answering using the OpQA corpus

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Comparative experiments on sentiment classification for online product reviews

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Opinion and generic question answering systems: a performance analysis

ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

A pilot study of opinion summarization in conversations

HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
CONSENTO: a new framework for opinion based entity search and summarization

Proceedings of the 21st ACM international conference on Information and knowledge management

Quantified Score

Hi-index	0.00

Visualization

Abstract

The treatment of factual data has been widely studied in different areas of Natural Language Processing (NLP). However, processing subjective information still poses important challenges. This paper presents research aimed at assessing techniques that have been suggested as appropriate in the context of subjective - Opinion Question Answering (OQA). We evaluate the performance of an OQA with these new components and propose methods to optimally tackle the issues encountered. We assess the impact of including additional resources and processes with the purpose of improving the system performance on two distinct blog datasets. The improvements obtained for the different combination of tools are statistically significant. We thus conclude that the proposed approach is adequate for the OQA task, offering a good strategy to deal with opinionated questions.