SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering

Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova

June 2016

Abstract

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 question and for the comment, semantic vectors trained on QatarLiving data and similarities between the question and the comment for subtasks A and C, and between the original and the related question for Subtask B.

Type

Conference paper

Publication

In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

Momchil Hardalov

Applied Scientist

My research interests include natural langauge processing, few-shot, semi-supervised and multilingual learning. I have a strong software engineering background as a Software and Machine Learning Engineer.