Ambiguity Identification and Measurement in Natural Language Texts

Ceccato, Mariano and Kiyavitskaya, Nadzeya and Zeni, Nicola and Mich, Luisa and Berry, Daniel M. (2004) Ambiguity Identification and Measurement in Natural Language Texts. UNSPECIFIED. (Unpublished)

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    Abstract

    Text ambiguity is one of the most interesting phenomenon in human communication and a difficult problem in Natural Language Processing (NLP). Identification of text ambiguities is an important task for evaluating the quality of text and uncovering its vulnerable points. There exist several types of ambiguity. In the present work we review and compare different approaches to ambiguity identification task. We also propose our own approach to this problem. Moreover, we present the prototype of a tool for ambiguity identification and measurement in natural language text. The tool is intended to support the process of writing high quality documents.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    Uncontrolled Keywords: ambiguity identification, ambiguity measures, text quality, natural language.
    Report Number: DIT-04-111
    Repository staff approval on: 25 Jan 2005

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