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        <title>Detecting Uncertainty Cues in Hungarian Social Media Texts</title>
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        <namePart type="given">Veronika</namePart>
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        <name type="personal">
            <namePart type="given">Eduardo</namePart>
            <namePart type="family">Blanco</namePart>
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            <namePart type="family">Morante</namePart>
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    <abstract>In this paper, we aim at identifying uncertainty cues in Hungarian social media texts. We present our machine learning based uncertainty detector which is based on a rich features set including lexical, morphological, syntactic, semantic and discourse-based features, and we evaluate our system on a small set of manually annotated social media texts. We also carry out cross-domain and domain adaptation experiments using an annotated corpus of standard Hungarian texts and show that domain differences significantly affect machine learning. Furthermore, we argue that differences among uncertainty cue types may also affect the efficiency of uncertainty detection.</abstract>
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%0 Conference Proceedings
%T Detecting Uncertainty Cues in Hungarian Social Media Texts
%A Vincze, Veronika
%Y Blanco, Eduardo
%Y Morante, Roser
%Y Saurí, Roser
%S Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F vincze-2016-detecting
%X In this paper, we aim at identifying uncertainty cues in Hungarian social media texts. We present our machine learning based uncertainty detector which is based on a rich features set including lexical, morphological, syntactic, semantic and discourse-based features, and we evaluate our system on a small set of manually annotated social media texts. We also carry out cross-domain and domain adaptation experiments using an annotated corpus of standard Hungarian texts and show that domain differences significantly affect machine learning. Furthermore, we argue that differences among uncertainty cue types may also affect the efficiency of uncertainty detection.
%U https://aclanthology.org/W16-5002
%P 11-21

Markdown (Informal)

[Detecting Uncertainty Cues in Hungarian Social Media Texts](https://aclanthology.org/W16-5002) (Vincze, EXprom 2016)

• Detecting Uncertainty Cues in Hungarian Social Media Texts (Vincze, EXprom 2016)

ACL

• Veronika Vincze. 2016. Detecting Uncertainty Cues in Hungarian Social Media Texts. In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM), pages 11–21, Osaka, Japan. The COLING 2016 Organizing Committee.