Mihaylov, Todor ; 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.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2016 |
Autor(en): | Mihaylov, Todor ; Nakov, Preslav |
Art des Eintrags: | Bibliographie |
Titel: | SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings |
Sprache: | Deutsch |
Publikationsjahr: | Juni 2016 |
Buchtitel: | Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016) |
URL / URN: | http://www.aclweb.org/anthology/S16-1136 |
Zugehörige Links: | |
Kurzbeschreibung (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. |
Freie Schlagworte: | AIPHES_area_a2 |
ID-Nummer: | TUD-CS-2016-0146 |
Fachbereich(e)/-gebiet(e): | DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
Hinterlegungsdatum: | 30 Dez 2016 17:45 |
Letzte Änderung: | 28 Sep 2018 15:14 |
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