Abstract
In this paper we introduce an empirical approach to the semantic interpretation of superlative adjectives. We present a corpus annotated for superlatives and propose an interpretation algorithm that uses a wide-coverage parser and produces semantic representations. We achieve Fscores between 0.84 and 0.91 for detecting attributive superlatives and an accuracy in the range of 0.69-0.84 for determining the correct comparison set. As far as we are aware, this is the first automated approach to superlatives for open-domain texts and questions. © 2006 Association for Computational Linguistics.
Cite
CITATION STYLE
Bos, J., & Nissim, M. (2006). An empirical approach to the interpretation of superlatives. In COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 9–17). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1610075.1610078
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