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).
"This is the question answering that really matters to people," said LTI Professor and MCDS Director Eric Nyberg, who heads the Open Advancement of Question Answering (... Read More