Recognition of Paraphrasing Pairs

Author

Uribe, Diego

Author_Institution

Div. de Posgrado e Investig., Inst. Tecnol. de la Laguna, Mexico City

fYear

2008

fDate

Sept. 30 2008-Oct. 3 2008

Firstpage

50

Lastpage

55

Abstract

Our approach to recognize paraphrasing pairs is to make use of lexical relationships as representations of paraphrases. In this paper, we describe a classification process based on logistic regression as the inference mechanism. In this way, the set of features to be analyzed correspond to dependency trees from semantically equivalent paraphrase pairs. The results of the experimentation conducted show how a model constructed around lexical relationships is a plausible alternative for paraphrasing detection.

Keywords

inference mechanisms; natural language processing; regression analysis; classification; dependency trees; inference mechanism; lexical relationship; logistic regression; natural language processing; paraphrasing detection; paraphrasing pairs recognition; Automotive engineering; Data mining; Induction generators; Inference algorithms; Inference mechanisms; Information retrieval; Lattices; Logistics; Robots; Semisupervised learning; Paraphrasing; alignment; dependency tree; logistic regression;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Conference_Location

Morelos

Print_ISBN

978-0-7695-3320-9

Type

conf

DOI

10.1109/CERMA.2008.56

Filename

4641046