Open AccessJoint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages
Author(s) -
Chen Chen,
Vincent Ng
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10392
Subject(s) - coreference , computer science , pipeline (software) , inference , event (particle physics) , artificial intelligence , bottleneck , natural language processing , resolver , annotation , joint (building) , information extraction , resolution (logic) , named entity recognition , machine learning , task (project management) , architectural engineering , telecommunications , chip , physics , management , quantum mechanics , embedded system , engineering , economics , programming language
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