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        <title>An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking</title>
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    <name type="personal">
        <namePart type="given">Puyang</namePart>
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            <namePart type="given">Iryna</namePart>
            <namePart type="family">Gurevych</namePart>
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
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    <abstract>We highlight a practical yet rarely discussed problem in dialogue state tracking (DST), namely handling unknown slot values. Previous approaches generally assume predefined candidate lists and thus are not designed to output unknown values, especially when the spoken language understanding (SLU) module is absent as in many end-to-end (E2E) systems. We describe in this paper an E2E architecture based on the pointer network (PtrNet) that can effectively extract unknown slot values while still obtains state-of-the-art accuracy on the standard DSTC2 benchmark. We also provide extensive empirical evidence to show that tracking unknown values can be challenging and our approach can bring significant improvement with the help of an effective feature dropout technique.</abstract>
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    <identifier type="doi">10.18653/v1/P18-1134</identifier>
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%0 Conference Proceedings
%T An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
%A Xu, Puyang
%A Hu, Qi
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F xu-hu-2018-end
%X We highlight a practical yet rarely discussed problem in dialogue state tracking (DST), namely handling unknown slot values. Previous approaches generally assume predefined candidate lists and thus are not designed to output unknown values, especially when the spoken language understanding (SLU) module is absent as in many end-to-end (E2E) systems. We describe in this paper an E2E architecture based on the pointer network (PtrNet) that can effectively extract unknown slot values while still obtains state-of-the-art accuracy on the standard DSTC2 benchmark. We also provide extensive empirical evidence to show that tracking unknown values can be challenging and our approach can bring significant improvement with the help of an effective feature dropout technique.
%R 10.18653/v1/P18-1134
%U https://aclanthology.org/P18-1134
%U https://doi.org/10.18653/v1/P18-1134
%P 1448-1457

Markdown (Informal)

[An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking](https://aclanthology.org/P18-1134) (Xu & Hu, ACL 2018)

• An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking (Xu & Hu, ACL 2018)

ACL

• Puyang Xu and Qi Hu. 2018. An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1448–1457, Melbourne, Australia. Association for Computational Linguistics.