Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM - ACL Anthology

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Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM

Ivan Habernal, Iryna Gurevych

Anthology ID:: P16-1150
Volume:: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:: August
Year:: 2016
Address:: Berlin, Germany
Editors:: Katrin Erk, Noah A. Smith
Venue:: ACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1589–1599
Language:
URL:: https://preview.aclanthology.org/build-pipeline-with-new-library/P16-1150/
DOI:: 10.18653/v1/P16-1150
Bibkey:
Cite (ACL):: Ivan Habernal and Iryna Gurevych. 2016. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1589–1599, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):: Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM (Habernal & Gurevych, ACL 2016)
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PDF:: https://preview.aclanthology.org/build-pipeline-with-new-library/P16-1150.pdf