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SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering (2109.15120v1)
Published 26 Sep 2021 in cs.CL, cs.AI, cs.IR, cs.LG, and cs.SI
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.
- Tsvetomila Mihaylova (11 papers)
- Pepa Gencheva (4 papers)
- Martin Boyanov (2 papers)
- Ivana Yovcheva (1 paper)
- Todor Mihaylov (23 papers)
- Momchil Hardalov (23 papers)
- Yasen Kiprov (5 papers)
- Daniel Balchev (1 paper)
- Ivan Koychev (33 papers)
- Preslav Nakov (253 papers)
- Ivelina Nikolova (1 paper)
- Galia Angelova (3 papers)