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Asia Information Retrieval Symposium

AIRS 2014: Information Retrieval Technology pp 348–359Cite as

Extraction of Semantic Features from Transaction Dialogues

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8870))

Abstract

Existing question and answering systems are mostly limited to answer queries in isolation, although the system’s knowledge in determining whether a question is relevant to the previous interaction context is very important as supported in dialogue systems. Nonetheless, the problem with interpreting the input queries in both systems remains universal because utterances are typically short, single-sentenced, and may even be grammatically incorrect. This research presents a set of decision trees that form the rules in extracting semantic features encoded in dialogue utterances based on the Information Structure Theory. The extraction process is illustrated using a transaction dialogue corpus for a theater reservation system called SCHISMA. Because the basis of extraction is the informativeness in utterance within the domain knowledge, the proposed method may be used to improve research in QA systems by taking account the previous interaction context.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    Aida Mustapha

Authors
  1. Aida Mustapha
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Editor information

Editors and Affiliations

  1. Institute of Visual Informatic, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Azizah Jaafar

  2. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

  3. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Shahrul Azman Mohd Noah

  4. Insight Centre for Data Analytics, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Alan F. Smeaton

  5. Information Systems, Queensland University of Technology, 4001, Brisbane, QLD, Australia

    Peter Bruza

  6. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia

    Zainab Abu Bakar  & Nursuriati Jamil  & 

  7. Cyber Security Center, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 57000, Kuala Lumpur, Malaysia

    Tengku Mohd Tengku Sembok

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© 2014 Springer International Publishing Switzerland

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Mustapha, A. (2014). Extraction of Semantic Features from Transaction Dialogues. In: Jaafar, A., et al. Information Retrieval Technology. AIRS 2014. Lecture Notes in Computer Science, vol 8870. Springer, Cham. https://doi.org/10.1007/978-3-319-12844-3_30

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  • DOI: https://doi.org/10.1007/978-3-319-12844-3_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12843-6

  • Online ISBN: 978-3-319-12844-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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