Semanticz At Semeval-2016 Task 3: Ranking Relevant Answers In Community Question Answering Using Semantic Similarity Based On Fine-tuned Word Embeddings
Todor Mihaylov, Preslav Nakov . SemEval-2016 2019 – 0 citations
We describe our system for finding good answers in a community forum, as defined in SemEval-2016, Task 3 on Community Question Answering. Our approach relies on several semantic similarity features based on fine-tuned word embeddings and topics similarities. In the main Subtask C, our primary submission was ranked third, with a MAP of 51.68 and accuracy of 69.94. In Subtask A, our primary submission was also third, with MAP of 77.58 and accuracy of 73.39.