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A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition
We describe our effort in developing a Named Entity Recognition (NER) system for Hindi using Maximum Entropy (Max- Ent) approach. We developed a NER an- notated corpora for the purpose. …...
The VerbCorner Project: Toward an Empirically-Based Semantic Decomposition of Verbs
This research describes efforts to use crowd- sourcing to improve the validity of the seman- tic predicates in VerbNet, a lexicon of about 6300 English verbs. The current semantic predicates …...
SemEval-2017 Task 7: Detection and Interpretation of English Puns
AbstractA pun is a form of wordplay in which a word suggests two or more meanings by exploiting polysemy, homonymy, or phonological similarity to another word, for an intended humorous …...
Linguistically-driven Framework for Computationally Efficient and Scalable Sign Recognition
We introduce a new general framework for sign recognition from monocular video using limited quantities of annotated data. The novelty of the hybrid framework we describe here is that we …...