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 proceedingConference 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 languageEnglish (US)
Title of host publicationCCICLing 2015, Part I
EditorsAlexander Gelbukh
Place of PublicationSwitzerland
PublisherSpringer-Verlag Berlin Heidelberg
Pages310-334
Number of pages25
ISBN (Print)9783319181103
DOIs
StatePublished - Jan 1 2015
Externally publishedYes
Event16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015 - Cairo, Egypt
Duration: Apr 14 2015Apr 20 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9041
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015
CountryEgypt
CityCairo
Period4/14/154/20/15

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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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