An empirical study on uncertainty identification in social media context

Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam Fai Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in social media context because of its specific characteristics. In this paper, we propose a variant of annotation scheme for uncertainty identification and construct the first uncertainty corpus based on tweets. We then conduct experiments on the generated tweets corpus to study the effectiveness of different types of features for uncertainty text identification.

Original languageEnglish
Title of host publicationACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages58-62
Number of pages5
Volume2
ISBN (Print)9781937284510
Publication statusPublished - 1 Jan 2013
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: 4 Aug 20139 Aug 2013

Other

Other51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
CountryBulgaria
CitySofia
Period4/8/139/8/13

Fingerprint

social media
uncertainty
twitter
facebook
Uncertainty
Empirical Study
Social Media
interpretation
experiment

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Wei, Z., Chen, J., Gao, W., Li, B., Zhou, L., He, Y., & Wong, K. F. (2013). An empirical study on uncertainty identification in social media context. In ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Vol. 2, pp. 58-62). Association for Computational Linguistics (ACL).

An empirical study on uncertainty identification in social media context. / Wei, Zhongyu; Chen, Junwen; Gao, Wei; Li, Binyang; Zhou, Lanjun; He, Yulan; Wong, Kam Fai.

ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Vol. 2 Association for Computational Linguistics (ACL), 2013. p. 58-62.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wei, Z, Chen, J, Gao, W, Li, B, Zhou, L, He, Y & Wong, KF 2013, An empirical study on uncertainty identification in social media context. in ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. vol. 2, Association for Computational Linguistics (ACL), pp. 58-62, 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, Sofia, Bulgaria, 4/8/13.
Wei Z, Chen J, Gao W, Li B, Zhou L, He Y et al. An empirical study on uncertainty identification in social media context. In ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Vol. 2. Association for Computational Linguistics (ACL). 2013. p. 58-62
Wei, Zhongyu ; Chen, Junwen ; Gao, Wei ; Li, Binyang ; Zhou, Lanjun ; He, Yulan ; Wong, Kam Fai. / An empirical study on uncertainty identification in social media context. ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Vol. 2 Association for Computational Linguistics (ACL), 2013. pp. 58-62
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