Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction

Stefan Falk, Andi Rexha, Roman Kern


Anthology ID:
S16-1042
Volume:
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Month:
June
Year:
2016
Address:
San Diego, California
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
266–270
Language:
URL:
https://aclanthology.org/S16-1042
DOI:
10.18653/v1/S16-1042
Bibkey:
Cite (ACL):
Stefan Falk, Andi Rexha, and Roman Kern. 2016. Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 266–270, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction (Falk et al., SemEval 2016)
Copy Citation:
PDF:
https://aclanthology.org/S16-1042.pdf
Data
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