Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2021-03-01
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| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | http://dx.doi.org/10.1162/tacl_a_00249 |
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| _version_ | 1846129840403513344 |
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| author | Wenpeng Yin Hinrich Schütze |
| author_facet | Wenpeng Yin Hinrich Schütze |
| author_sort | Wenpeng Yin |
| collection | DOAJ |
| format | Article |
| id | doaj-art-9052a55e817242b9a3a3f6d7b946d370 |
| institution | Kabale University |
| issn | 2307-387X |
| language | English |
| publishDate | 2021-03-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Transactions of the Association for Computational Linguistics |
| spelling | doaj-art-9052a55e817242b9a3a3f6d7b946d3702024-12-09T20:15:25ZengThe MIT PressTransactions of the Association for Computational Linguistics2307-387X2021-03-01610.1162/tacl_a_00249Attentive Convolution: Equipping CNNs with RNN-style Attention MechanismsWenpeng YinHinrich Schützehttp://dx.doi.org/10.1162/tacl_a_00249 |
| spellingShingle | Wenpeng Yin Hinrich Schütze Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms Transactions of the Association for Computational Linguistics |
| title | Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms |
| title_full | Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms |
| title_fullStr | Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms |
| title_full_unstemmed | Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms |
| title_short | Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms |
| title_sort | attentive convolution equipping cnns with rnn style attention mechanisms |
| url | http://dx.doi.org/10.1162/tacl_a_00249 |
| work_keys_str_mv | AT wenpengyin attentiveconvolutionequippingcnnswithrnnstyleattentionmechanisms AT hinrichschutze attentiveconvolutionequippingcnnswithrnnstyleattentionmechanisms |