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Natural Language Processing PIC at IBM Research AI Publications
Contents:
  1. Speech Technology Progress Based on New Machine Learning Paradigm
  2. Navigation menu
  3. Efficient Question Answering with Question Decomposition and Multiple Answer Streams
  4. Interaction History Based Answer Formulation for Question Answering | SpringerLink

Weakness we found in this arena is that answers that a particular user has acquired are not considered, when processing new questions.

In this paper we present an approach towards question answering to devise an answer based on the questions already processed by the system for a particular user which is termed as interaction history for the user. Our approach is a combination of question processing, relation extraction and knowledge representation with inference models. During the process we primarily focus on acquiring knowledge and building up a scalable user model to formulate future answers based on current answers that same user has processed.

According to evaluation we carried out based on the TREC resources shows that proposed technology is promising and effective in question answering. Unable to display preview. Download preview PDF. Skip to main content. Advertisement Hide. Conference paper. This is a preview of subscription content, log in to check access. Zheng, Z. Morgan Kaufmann Publishers Inc. Katz, B.

Speech Technology Progress Based on New Machine Learning Paradigm

Research, W. Woods, W. Maybury, M.

In: Strzalkowski, T. Advances in Open Domain Question Answering. Text, Speech and Language Technology, vol.

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Springer, Netherlands Google Scholar. Hirschman, L. Wang, R. Shtok, A.


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  • Interaction History Based Answer Formulation for Question Answering | SpringerLink.
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Wang, G. Riloff, E.

Efficient Question Answering with Question Decomposition and Multiple Answer Streams

Strzalkowski and S. Harabagiu Eds. Springer Netherlands, Huang, Z.

Huang, G. Rumelhart, D.

Interaction History Based Answer Formulation for Question Answering | SpringerLink

Collins, M. Pasca, M. Silva, J. Fellbaum, C. Li, X. Association for Computational Linguistics, Even-Zohar, Y. Carlson, A. Cumby, C. Hacioglu, K. Dietterich, T. Bikel, D. Zhang, D. Krishnan, V. Nguyen, M. Berger, A. Schapire, R.