The Role of Emotions in Native Language Identification

I. Markov; V. Nastase; C. Strapparava; G. Sidorov

doi:10.18653/v1/P17

The Role of Emotions in Native Language Identification

I. Markov, V. Nastase, C. Strapparava, G. Sidorov

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

© 2018 Association for Computational LinguisticsWe explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language. To check the role of emotions in native language identification (NLI), we model emotion information through polarity and emotion load features, and use document representations using these features to classify the native language of the author. The results indicate that emotion is relevant for NLI, even for high proficiency levels and across topics.

Original language	English
Title of host publication	WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	123-129
ISBN (Electronic)	9781948087803
DOIs	https://doi.org/10.18653/v1/P17
Publication status	Published - 2018
Externally published	Yes
Event	9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018 - Brussels, Belgium Duration: 31 Oct 2018 → …

Conference

Conference	9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018
Country/Territory	Belgium
City	Brussels
Period	31/10/18 → …

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@inproceedings{d2c15251f2f140baa37528d81d450660,

title = "The Role of Emotions in Native Language Identification",

abstract = "{\textcopyright} 2018 Association for Computational LinguisticsWe explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language. To check the role of emotions in native language identification (NLI), we model emotion information through polarity and emotion load features, and use document representations using these features to classify the native language of the author. The results indicate that emotion is relevant for NLI, even for high proficiency levels and across topics.",

author = "I. Markov and V. Nastase and C. Strapparava and G. Sidorov",

year = "2018",

doi = "10.18653/v1/P17",

language = "English",

pages = "123--129",

booktitle = "WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

note = "9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018 ; Conference date: 31-10-2018",

}

Markov, I, Nastase, V, Strapparava, C & Sidorov, G 2018, The Role of Emotions in Native Language Identification. in WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL), pp. 123-129, 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018, Brussels, Belgium, 31/10/18. https://doi.org/10.18653/v1/P17

The Role of Emotions in Native Language Identification. / Markov, I.; Nastase, V.; Strapparava, C. et al.
WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2018. p. 123-129.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The Role of Emotions in Native Language Identification

AU - Markov, I.

AU - Nastase, V.

AU - Strapparava, C.

AU - Sidorov, G.

PY - 2018

Y1 - 2018

N2 - © 2018 Association for Computational LinguisticsWe explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language. To check the role of emotions in native language identification (NLI), we model emotion information through polarity and emotion load features, and use document representations using these features to classify the native language of the author. The results indicate that emotion is relevant for NLI, even for high proficiency levels and across topics.

AB - © 2018 Association for Computational LinguisticsWe explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language. To check the role of emotions in native language identification (NLI), we model emotion information through polarity and emotion load features, and use document representations using these features to classify the native language of the author. The results indicate that emotion is relevant for NLI, even for high proficiency levels and across topics.

U2 - 10.18653/v1/P17

DO - 10.18653/v1/P17

M3 - Conference contribution

SP - 123

EP - 129

BT - WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

PB - Association for Computational Linguistics (ACL)

T2 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018

Y2 - 31 October 2018

ER -

The Role of Emotions in Native Language Identification

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