Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet.

We propose a new semantic relation for gradable adjectives in WordNet, which enriches the present, vague, similar relation with information on the degree or intensity with which different adjectives express a shared attribute. Using lexical-semantic patterns, we mine the Web for evidence of the rela...

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Publicado en:Language Resources & Evaluation Vol. 47; no. 3; pp. 797 - 817
Autores principales: Sheinman, Vera, Fellbaum, Christiane, Julien, Isaac, Schulam, Peter, Tokunaga, Takenobu
Formato: Artículo
Publicado: Springer Nature Sep2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Sheinman, Vera
          Fellbaum, Christiane
          Julien, Isaac
          Schulam, Peter
          Tokunaga, Takenobu
        affil:
          Computer Science Department, Tokyo Institute of Technology, Ookayama 2-12-1 Meguro-ku, Tokyo 152-8552 Japan
          Computer Science Department, Princeton University, 35 Olden Street Princeton 08540 USA
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        Encoding
        Adjectives
        Semantics
        Lexical-functional grammar
        Comparative linguistics
        Language & languages
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        subj:
          Encoding
          Adjectives
          Semantics
          Lexical-functional grammar
          Comparative linguistics
          Language & languages
      keyword:
        Gradable adjectives
        Intensity relation
        Scales
        WordNet
      ab: We propose a new semantic relation for gradable adjectives in WordNet, which enriches the present, vague, similar relation with information on the degree or intensity with which different adjectives express a shared attribute. Using lexical-semantic patterns, we mine the Web for evidence of the relative strength of adjectives like 'large', 'huge' and 'gigantic' with respect to their attribute ('size'). The pairwise orderings we derive allow us to construct scales on which the adjectives are located. To represent the intensity relation among gradable adjectives in WordNet, we combine ordered scales with the current WordNet dumbbells based on the relation between a pair of central adjectives and a group of undifferentiated semantically similar adjectives. A new intensity relation links the adjectives in the dumbbells and their concurrent representation on scales. Besides capturing the semantics of gradable adjectives in a way that is both intuitively clear as well as consistent with corpus data, the introduction of an intensity relation would potentially result in several specific benefits for NLP.
      pubtype: Academic Journal
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    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved.
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