Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-3481
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Deriu, Jan Milan | - |
dc.contributor.author | Cieliebak, Mark | - |
dc.date.accessioned | 2018-01-12T13:23:01Z | - |
dc.date.available | 2018-01-12T13:23:01Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/1976 | - |
dc.description.abstract | In this paper we propose a system for re-ranking answers for a given question. Our method builds on a siamese CNN architecture which is extended by two attention mechanisms. The approach was evaluated on the datasets of the SemEval-2017 competition for Community Question Answering (cQA), where it achieved 7th place obtaining a MAP score of 86.24 points on the Question-Comment Similarity subtask. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Association for Computational Linguistics | de_CH |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject.ddc | 410.285: Computerlinguistik | de_CH |
dc.title | SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
dc.identifier.doi | 10.21256/zhaw-3481 | - |
dc.identifier.doi | 10.18653/v1/S17-2054 | de_CH |
zhaw.conference.details | SemEval 2017 - International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 338 | de_CH |
zhaw.pages.start | 334 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 11 | de_CH |
zhaw.publication.review | Not specified | de_CH |
zhaw.title.proceedings | Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) | de_CH |
zhaw.webfeed | Datalab | de_CH |
zhaw.webfeed | Software Systems | de_CH |
zhaw.webfeed | Natural Language Processing | de_CH |
zhaw.funding.zhaw | DeepText: Intelligente Textanalyse mit Deep Learning | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
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106_Paper-1.pdf | 356.12 kB | Adobe PDF | View/Open |
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Deriu, J. M., & Cieliebak, M. (2017). SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering [Conference paper]. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 11, 334–338. https://doi.org/10.21256/zhaw-3481
Deriu, J.M. and Cieliebak, M. (2017) ‘SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering’, in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Association for Computational Linguistics, pp. 334–338. Available at: https://doi.org/10.21256/zhaw-3481.
J. M. Deriu and M. Cieliebak, “SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering,” in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017, vol. 11, pp. 334–338. doi: 10.21256/zhaw-3481.
DERIU, Jan Milan und Mark CIELIEBAK, 2017. SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Conference paper. Association for Computational Linguistics. 2017. S. 334–338
Deriu, Jan Milan, and Mark Cieliebak. 2017. “SwissAlps at SemEval-2017 Task 3 : Attention-Based Convolutional Neural Network for Community Question Answering.” Conference paper. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 11:334–38. Association for Computational Linguistics. https://doi.org/10.21256/zhaw-3481.
Deriu, Jan Milan, and Mark Cieliebak. “SwissAlps at SemEval-2017 Task 3 : Attention-Based Convolutional Neural Network for Community Question Answering.” Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), vol. 11, Association for Computational Linguistics, 2017, pp. 334–38, https://doi.org/10.21256/zhaw-3481.
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