That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets - ACL Anthology

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That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets

William Yang Wang, Diyi Yang

Anthology ID:: D15-1306
Volume:: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:: September
Year:: 2015
Address:: Lisbon, Portugal
Editors:: Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 2557–2563
Language:
URL:: https://aclanthology.org/D15-1306
DOI:: 10.18653/v1/D15-1306
Bibkey:
Cite (ACL):: William Yang Wang and Diyi Yang. 2015. That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2557–2563, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):: That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets (Wang & Yang, EMNLP 2015)
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PDF:: https://preview.aclanthology.org/naacl24-info/D15-1306.pdf