Paraphrase Recognition using Predicate Argument Structure Representation

A, Chitra and Rajkumar, Anupriya (2021) Paraphrase Recognition using Predicate Argument Structure Representation. In: ICCAP 2021, 7-8 December 2021, Chennai, India.

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One of the tasks that make Natural Language Processing applications challenging is Paraphrase Recognition which is the establishment of semantic equivalence between two text units. A popular approach adopted in Paraphrase Recognition, is the usage of symbolic meaning representations as intermediate forms. In this work, Predicate Argument Structures (PAS) have been explored for the task of Paraphrase Recognition. The performance of the system was evaluated on the Microsoft Research Paraphrase Corpus and was found to be superior to existing approaches when the PAS based system was enhanced by using a table of equivalent phrases.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: paraphrase recognition predicate argument matching support vector machine
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 29 Mar 2022 08:02
Last Modified: 29 Mar 2022 08:02

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