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An Approach to Semantic Text Similarity Computing

Akermi, Imen and Faiz, Rim An Approach to Semantic Text Similarity Computing. (2014) In: 3rd Computer Science On-line Conference 2014 (CSOC 2014), 28 April 2014 - 30 April 2014 (On-line Conference, Unknown).

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Official URL: https://doi.org/10.1007/978-3-319-06740-7_32

Abstract

The use of text similarity plays an important role in many applications in Computational Linguistics, such as Text Classification and Information Extraction and Retrieval. Besides, there are several tasks that require computing the similarity between two short segments of text. In this work, we propose a sentence similarity computing approach that takes account of the semantic and the syntactic information contained in the sentences. The proposed method can be applied in a variety of applications to mention, text knowledge representation and discovery. Experiments on a set of sentence pairs show that our approach presents a similarity measure that illustrates a considerable correlation to human judgment.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in part of the Advances in Intelligent Systems and Computing book series (AISC, volume 285) ISBN 978-3-319-06739-1 https://link.springer.com/chapter/10.1007/978-3-319-06740-7_32
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Tunis (TUNISIA)
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Deposited By: IRIT IRIT
Deposited On:15 Oct 2018 09:15

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