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Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
In this work we propose OpenFSP, a framework that allows for easy creation of new domains from a handful of simple labels that can be generated without specific NLP knowledge.
Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics
Using a combination of emphatic, language-specific, and Twitter-specific features for supervised learning resulted in 87{\%} accuracy (F1) for cross-validation of the training set and 63. 4{\%} accuracy when using the test set.
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