Recognition of Partial Textual Entailment for Indian Social Media Text

Authors

  • Dwijen Rudrapal National Institute of Technology Agartala, India
  • Amitava Das IIIT Sricity, India
  • Baby Bhattacharya National Institute of Technology Agartala, India

DOI:

https://doi.org/10.13053/cys-23-1-2816

Keywords:

Textual entailment, social media text, text summarization, partial textual entailment, question-answering system, machine learning

Abstract

Textual entailment (TE) is a unidirectional relationship between two expressions where the meaning of one expression called Hypothesis (H), infers from the other expression called Text (T). The definition of TE is rigid in a sense that if the H entails from T but lacks minor information or have some additionalinformation, then the pair treated as non-entailed. In such cases we could not measure the relatedness of a T-H pair. Partial textual entailment (PTE) is a possible solution of this problem which defines partial entailment relation between a T-H pair. PTE relationship can plays an important role in different Natural Language Processing (NLP) applications like text summarization and question-answering system by reducing redundant information. In this paper we investigate the idea of PTE for Indian social media text (SMT). We developed a PTE annotated corpus for Bengali tweets and proposed a Sequential Minimal Optimization (SMO) based PTE recognition approach. We also evaluated our proposed approach through experiment results.

Author Biographies

Dwijen Rudrapal, National Institute of Technology Agartala, India

PhD Scholar, CSE department, National Institute of Technology Agartala, India.

Amitava Das, IIIT Sricity, India

Assistant Professor, CSE Department

Baby Bhattacharya, National Institute of Technology Agartala, India

Assistant Professor in Mathematics Department.

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Published

2019-03-24

Issue

Vol. 23 No. 1 (2019): Recent Advances in Optics and Photonics (Guest Editors: J. J. Sánchez Mondragón, M. Torres Cisneros, R. Guzmán Cabrera)

Section

Articles

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