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Ambiguity Identification and Measurement in Natural Language Texts
| Citations: | 3 - 0 self |
BibTeX
@MISC{Ceccato_ambiguityidentification,
author = {Mariano Ceccato and Nadzeya Kiyavitskaya and Nicola Zeni and Luisa Mich and Daniel M. Berry},
title = {Ambiguity Identification and Measurement in Natural Language Texts},
year = {}
}
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Abstract
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.
