DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016 Task 6). We utilized recent advances in short text categorization using deep learning to create word-level and character-level models. The choice between word-level and character level models in each particular c...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computational Linguistics
2016
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| Online Access: | http://hdl.handle.net/1721.1/104351 https://orcid.org/0000-0002-5826-1591 https://orcid.org/0000-0003-2483-8265 https://orcid.org/0000-0002-2564-8909 https://orcid.org/0000-0002-4333-7194 |