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SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings

Mihaylov, Todor and Nakov, Preslav (2016):
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings.
In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), [Online-Edition: http://www.aclweb.org/anthology/S16-1136],
[Conference or Workshop Item]

Abstract

We describe our system for finding good answers in a community forum, as defined in SemEval-2016, ask 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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Mihaylov, Todor and Nakov, Preslav
Title: SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
Language: German
Abstract:

We describe our system for finding good answers in a community forum, as defined in SemEval-2016, ask 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.

Title of Book: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016)
Uncontrolled Keywords: AIPHES_area_a2
Divisions: DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Date Deposited: 30 Dec 2016 17:45
Official URL: http://www.aclweb.org/anthology/S16-1136
Identification Number: TUD-CS-2016-0146
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