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.
Held annually, BioASQ pushes for a solution to the information access problem biomedical experts face by posing challenges on both biomedical semantic indexing and question answering. The CMU team, comprising Zi Yang, a student in the LTI's Ph.D. program; Yue Zhou, a student in the... Read More
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).