Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection (D19-1)
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| Challenge: | Stack Exchange has fewer than 160 user-labeled duplicates, and 25% have fewer. |
| Approach: | They propose a framework that combines sentence encoders with unlabeled data to solve the problem of duplicate question detection in Community Question Answering forums. |
| Outcome: | The proposed framework outperforms BM25, a single-view system and a supervised domain-adversarial DQD method on the CQADupStack corpus and on Stack Exchange forums. |
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
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