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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
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
No Citations Yet
http://www.cs.cmu.edu/yww/data/petpeeves.zip
https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Gesture
Task
Tagging
Named Entity Recognition
Sentiment Analysis
Summarization
Machine Translation
Paraphrasing
Text Categorization
Social Science
Approach
Generative Model
Language
English
Dataset
News
Social Media
Twitter
Legal Opinions
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