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        <title>Personalized Questions, Answers and Grammars: Aiding the Search for Relevant Web Information</title>
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        <namePart type="given">Marta</namePart>
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            <title>Proceedings of the 10th International Conference on Natural Language Generation</title>
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            <namePart type="given">Jose</namePart>
            <namePart type="given">M</namePart>
            <namePart type="family">Alonso</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Alberto</namePart>
            <namePart type="family">Bugarín</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Ehud</namePart>
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    <abstract>This work proposes an organization of knowledge to facilitate the generation of personalized questions, answers and grammars from web documents. To reduce the human effort needed in the generation of the linguistic resources for a new domain, the general aspects that can be reuse across domains are separated from those more specific. The proposed approach is based on the representation of the main domain concepts as a set of attributes. These attributes are related to a syntactico-semantic taxonomy representing the general relationships between conceptual and linguistic knowledge. User models are incorporated by distinguishing different user groups and relating each group to the appropriate conceptual attributes. Then, the data is extracted from the web documents and represented as instances of the domain concepts. Questions, answers and grammars are generated from these instances.</abstract>
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    <identifier type="doi">10.18653/v1/W17-3530</identifier>
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%0 Conference Proceedings
%T Personalized Questions, Answers and Grammars: Aiding the Search for Relevant Web Information
%A Gatius, Marta
%Y Alonso, Jose M.
%Y Bugarín, Alberto
%Y Reiter, Ehud
%S Proceedings of the 10th International Conference on Natural Language Generation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Santiago de Compostela, Spain
%F gatius-2017-personalized
%X This work proposes an organization of knowledge to facilitate the generation of personalized questions, answers and grammars from web documents. To reduce the human effort needed in the generation of the linguistic resources for a new domain, the general aspects that can be reuse across domains are separated from those more specific. The proposed approach is based on the representation of the main domain concepts as a set of attributes. These attributes are related to a syntactico-semantic taxonomy representing the general relationships between conceptual and linguistic knowledge. User models are incorporated by distinguishing different user groups and relating each group to the appropriate conceptual attributes. Then, the data is extracted from the web documents and represented as instances of the domain concepts. Questions, answers and grammars are generated from these instances.
%R 10.18653/v1/W17-3530
%U https://aclanthology.org/W17-3530
%U https://doi.org/10.18653/v1/W17-3530
%P 203-207

Markdown (Informal)

[Personalized Questions, Answers and Grammars: Aiding the Search for Relevant Web Information](https://aclanthology.org/W17-3530) (Gatius, INLG 2017)

• Personalized Questions, Answers and Grammars: Aiding the Search for Relevant Web Information (Gatius, INLG 2017)

ACL

• Marta Gatius. 2017. Personalized Questions, Answers and Grammars: Aiding the Search for Relevant Web Information. In Proceedings of the 10th International Conference on Natural Language Generation, pages 203–207, Santiago de Compostela, Spain. Association for Computational Linguistics.