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        <title>Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base</title>
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    <name type="personal">
        <namePart type="given">Wei-Chuan</namePart>
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    <name type="personal">
        <namePart type="given">Hen-Hsen</namePart>
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    <name type="personal">
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        <dateIssued>2017-nov</dateIssued>
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            <title>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)</title>
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            <publisher>Asian Federation of Natural Language Processing</publisher>
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    <abstract>This paper presents an approach to identify subject, type and property from knowledge base (KB) for answering simple questions. We propose new features to rank entity candidates in KB. Besides, we split a relation in KB into type and property. Each of them is modeled by a bi-directional LSTM. Experimental results show that our model achieves the state-of-the-art performance on the SimpleQuestions dataset. The hard questions in the experiments are also analyzed in detail.</abstract>
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%0 Conference Proceedings
%T Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base
%A Hsiao, Wei-Chuan
%A Huang, Hen-Hsen
%A Chen, Hsin-Hsi
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2017
%8 nov
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F hsiao-etal-2017-integrating
%X This paper presents an approach to identify subject, type and property from knowledge base (KB) for answering simple questions. We propose new features to rank entity candidates in KB. Besides, we split a relation in KB into type and property. Each of them is modeled by a bi-directional LSTM. Experimental results show that our model achieves the state-of-the-art performance on the SimpleQuestions dataset. The hard questions in the experiments are also analyzed in detail.
%U https://aclanthology.org/I17-1098
%P 976-985

Markdown (Informal)

[Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base](https://aclanthology.org/I17-1098) (Hsiao et al., IJCNLP 2017)

• Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base (Hsiao et al., IJCNLP 2017)

ACL

• Wei-Chuan Hsiao, Hen-Hsen Huang, and Hsin-Hsi Chen. 2017. Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 976–985, Taipei, Taiwan. Asian Federation of Natural Language Processing.