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        <title>High Accuracy Rule-based Question Classification using Question Syntax and Semantics</title>
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        <namePart type="given">Harish</namePart>
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            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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            <namePart type="given">Rashmi</namePart>
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    <abstract>We present in this paper a purely rule-based system for Question Classification which we divide into two parts: The first is the extraction of relevant words from a question by use of its structure, and the second is the classification of questions based on rules that associate these words to Concepts. We achieve an accuracy of 97.2%, close to a 6 point improvement over the previous State of the Art of 91.6%. Additionally, we believe that machine learning algorithms can be applied on top of this method to further improve accuracy.</abstract>
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%0 Conference Proceedings
%T High Accuracy Rule-based Question Classification using Question Syntax and Semantics
%A Tayyar Madabushi, Harish
%A Lee, Mark
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F tayyar-madabushi-lee-2016-high
%X We present in this paper a purely rule-based system for Question Classification which we divide into two parts: The first is the extraction of relevant words from a question by use of its structure, and the second is the classification of questions based on rules that associate these words to Concepts. We achieve an accuracy of 97.2%, close to a 6 point improvement over the previous State of the Art of 91.6%. Additionally, we believe that machine learning algorithms can be applied on top of this method to further improve accuracy.
%U https://aclanthology.org/C16-1116/
%P 1220-1230

Markdown (Informal)

[High Accuracy Rule-based Question Classification using Question Syntax and Semantics](https://aclanthology.org/C16-1116/) (Tayyar Madabushi & Lee, COLING 2016)

• High Accuracy Rule-based Question Classification using Question Syntax and Semantics (Tayyar Madabushi & Lee, COLING 2016)

ACL

• Harish Tayyar Madabushi and Mark Lee. 2016. High Accuracy Rule-based Question Classification using Question Syntax and Semantics. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1220–1230, Osaka, Japan. The COLING 2016 Organizing Committee.