A team of students from the Language Technologies Institute recently earned top honors for their performance in the BioASQ 2016 Biomedical Semantic Question Answering challenge.
A Carnegie Mellon system designed to rapidly answer questions — even some seemingly off the wall — posed to the Yahoo! Answers website received the highest score by far in the LiveQA evaluation track at the Text Retrieval Conference (TREC 2015).
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Large-Scale Video Analysis with External Knowledge and Internal Constraints
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