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        <title>Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information</title>
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        <namePart type="given">Ryosuke</namePart>
        <namePart type="family">Maki</namePart>
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        <namePart type="given">Hitoshi</namePart>
        <namePart type="family">Nishikawa</namePart>
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    <name type="personal">
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        <namePart type="family">Tokunaga</namePart>
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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            <namePart type="given">Rashmi</namePart>
            <namePart type="family">Prasad</namePart>
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    <abstract>In this paper, we propose utilising eye gaze information for estimating parameters of a Japanese predicate argument structure (PAS) analysis model. We employ not only linguistic information in the text, but also the information of annotator eye gaze during their annotation process. We hypothesise that annotator’s frequent looks at certain candidates imply their plausibility of being the argument of the predicate. Based on this hypothesis, we consider annotator eye gaze for estimating the model parameters of the PAS analysis. The evaluation experiment showed that introducing eye gaze information increased the accuracy of the PAS analysis by 0.05 compared with the conventional methods.</abstract>
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%0 Conference Proceedings
%T Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information
%A Maki, Ryosuke
%A Nishikawa, Hitoshi
%A Tokunaga, Takenobu
%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 maki-etal-2016-parameter
%X In this paper, we propose utilising eye gaze information for estimating parameters of a Japanese predicate argument structure (PAS) analysis model. We employ not only linguistic information in the text, but also the information of annotator eye gaze during their annotation process. We hypothesise that annotator’s frequent looks at certain candidates imply their plausibility of being the argument of the predicate. Based on this hypothesis, we consider annotator eye gaze for estimating the model parameters of the PAS analysis. The evaluation experiment showed that introducing eye gaze information increased the accuracy of the PAS analysis by 0.05 compared with the conventional methods.
%U https://aclanthology.org/C16-1269
%P 2861-2869

Markdown (Informal)

[Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information](https://aclanthology.org/C16-1269) (Maki et al., COLING 2016)

• Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information (Maki et al., COLING 2016)

ACL

• Ryosuke Maki, Hitoshi Nishikawa, and Takenobu Tokunaga. 2016. Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 2861–2869, Osaka, Japan. The COLING 2016 Organizing Committee.