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        <title>Lexical-semantic resources: yet powerful resources for automatic personality classification</title>
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        <namePart type="given">Xuan-Son</namePart>
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    <name type="personal">
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    <abstract>In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic personality classification task. While stylistic features (e.g., part-of-speech counts) have been shown their power in this task, the impact of semantics beyond targeted word lists is relatively unexplored. We propose and extract three types of lexical-semantic features, which capture high-level concepts and emotions, overcoming the lexical gap of word n-grams. Our experimental results are comparable to state-of-the-art methods, while no personality-specific resources are required.</abstract>
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%0 Conference Proceedings
%T Lexical-semantic resources: yet powerful resources for automatic personality classification
%A Vu, Xuan-Son
%A Flekova, Lucie
%A Jiang, Lili
%A Gurevych, Iryna
%Y Bond, Francis
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 9th Global Wordnet Conference
%D 2018
%8 January
%I Global Wordnet Association
%C Nanyang Technological University (NTU), Singapore
%F vu-etal-2018-lexical
%X In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic personality classification task. While stylistic features (e.g., part-of-speech counts) have been shown their power in this task, the impact of semantics beyond targeted word lists is relatively unexplored. We propose and extract three types of lexical-semantic features, which capture high-level concepts and emotions, overcoming the lexical gap of word n-grams. Our experimental results are comparable to state-of-the-art methods, while no personality-specific resources are required.
%U https://aclanthology.org/2018.gwc-1.20
%P 172-181

Markdown (Informal)

[Lexical-semantic resources: yet powerful resources for automatic personality classification](https://aclanthology.org/2018.gwc-1.20) (Vu et al., GWC 2018)

• Lexical-semantic resources: yet powerful resources for automatic personality classification (Vu et al., GWC 2018)

ACL

• Xuan-Son Vu, Lucie Flekova, Lili Jiang, and Iryna Gurevych. 2018. Lexical-semantic resources: yet powerful resources for automatic personality classification. In Proceedings of the 9th Global Wordnet Conference, pages 172–181, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.