Ivana Yovcheva

Learn More
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A and B, by combining a rich set of various types of features: semantic, lexical, metadata, and user-related. The most important group turned out to be the metadata for the(More)
The purpose of this paper is to describe our submission to the SemEval-2015 Task 3 on Answer Selection in Community Question Answering. We participated in subtask A, where the systems had to classify community answers for a given question as definitely relevant , potentially useful, or irrelevant. For every question-answer pair in the training data we(More)
  • 1