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A Statistics-Based Semantic Textual Entailment System

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Advances in Artificial Intelligence (MICAI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7094))

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Abstract

We present a Textual Entailment (TE) recognition system that uses semantic features based on the Universal Networking Language (UNL). The proposed TE system compares the UNL relations in both the text and the hypothesis to arrive at the two-way entailment decision. The system has been separately trained on each development corpus released as part of the Recognizing Textual Entailment (RTE) competitions RTE-1, RTE-2, RTE-3 and RTE-5 and tested on the respective RTE test sets.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Partha Pakray, Utsab Barman & Sivaji Bandyopadhyay

  2. Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico

    Alexander Gelbukh

Authors
  1. Partha Pakray
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  2. Utsab Barman
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  3. Sivaji Bandyopadhyay
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  4. Alexander Gelbukh
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Editor information

Editors and Affiliations

  1. Mexican Petroleum Institute (IMP), Eje Central Lazaro Cardenas Norte, 152, Col. San Bartolo Atepehuacan, CP 07730,, Mexico DF,, Mexico

    Ildar Batyrshin

  2. National Polytechnic Institute (IPN), Center for Computing Research (CIC), Av. Juan Dios Bátiz, s/n, Col. Nueva Industrial Vallejo, CP 07738, Mexico D.F., Mexico

    Grigori Sidorov

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© 2011 Springer-Verlag Berlin Heidelberg

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Pakray, P., Barman, U., Bandyopadhyay, S., Gelbukh, A. (2011). A Statistics-Based Semantic Textual Entailment System. In: Batyrshin, I., Sidorov, G. (eds) Advances in Artificial Intelligence. MICAI 2011. Lecture Notes in Computer Science(), vol 7094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25324-9_23

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  • DOI: https://doi.org/10.1007/978-3-642-25324-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25323-2

  • Online ISBN: 978-3-642-25324-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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