Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and 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
Will pyramids built of nuggets topple over?
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Mining comparative sentences and relations
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
An empirical approach to the interpretation of superlatives
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
TextWiki: a superlative resource
Language Resources and Evaluation
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I propose a computational treatment of superlatives, starting with superlative constructions and the main challenges in automatically recognising and extracting their components. Initial experimental evidence is provided for the value of the proposed work for Question Answering. I also briefly discuss its potential value for Sentiment Detection and Opinion Extraction.