A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop

Rania Al-Sabbagh; Roxana Girju; Jana Diesner

doi:10.1007/978-3-319-18111-0_24

A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop

Rania Al-Sabbagh, Roxana Girju, Jana Diesner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a unified framework based on supervised sequence labelling methods to identify and extract uncertainty cues, holders, and scopes in one-fell swoop with an application on Arabic tweets. The underlying technology employs Support Vector Machines with a rich set of morphological, syntactic, lexical, semantic, pragmatic, dialectal, and genre-specific features, and yields an average F₁ score of 0.759.

Original language	English (US)
Title of host publication	CCICLing 2015, Part I
Editors	Alexander Gelbukh
Place of Publication	Switzerland
Publisher	Springer-Verlag Berlin Heidelberg
Pages	310-334
Number of pages	25
ISBN (Print)	9783319181103
DOIs	https://doi.org/10.1007/978-3-319-18111-0_24
State	Published - Jan 1 2015
Externally published	Yes
Event	16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015 - Cairo, Egypt Duration: Apr 14 2015 → Apr 20 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9041
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015
Country	Egypt
City	Cairo
Period	4/14/15 → 4/20/15

Keywords

Morphologically-Rich Languages
Supervised Sequence Labeling
Twitter
Uncertainty Automatic Analysis
Unified Frameworks

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-18111-0_24

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Cite this

Al-Sabbagh, R., Girju, R., & Diesner, J. (2015). A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. In A. Gelbukh (Ed.), CCICLing 2015, Part I (pp. 310-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9041). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-18111-0_24

A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. / Al-Sabbagh, Rania; Girju, Roxana ; Diesner, Jana.

CCICLing 2015, Part I. ed. / Alexander Gelbukh. Switzerland : Springer-Verlag Berlin Heidelberg, 2015. p. 310-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9041).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Sabbagh, R, Girju, R & Diesner, J 2015, A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. in A Gelbukh (ed.), CCICLing 2015, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9041, Springer-Verlag Berlin Heidelberg, Switzerland, pp. 310-334, 16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015, Cairo, Egypt, 4/14/15. https://doi.org/10.1007/978-3-319-18111-0_24

Al-Sabbagh R, Girju R , Diesner J. A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. In Gelbukh A, editor, CCICLing 2015, Part I. Switzerland: Springer-Verlag Berlin Heidelberg. 2015. p. 310-334. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-18111-0_24

Al-Sabbagh, Rania ; Girju, Roxana ; Diesner, Jana. / A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. CCICLing 2015, Part I. editor / Alexander Gelbukh. Switzerland : Springer-Verlag Berlin Heidelberg, 2015. pp. 310-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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