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End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights
Andreas Rücklé
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Iryna Gurevych
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Shusen Liu
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Tao Li
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Zhimin Li
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Vivek Srikumar
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Valerio Pascucci
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Peer-Timo Bremer
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A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
Salvatore Romeo
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Giovanni Da San Martino
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Alberto Barrón-Cedeño
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Alessandro Moschitti
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https://doi.org/10.18653/v1/P17-4004
https://doi.org/10.18653/v1/P17-4004
https://github.com/UKPLab/
https://archive.org/details/
https://doi.org/10.18653/v1/N16-
https://arxiv.org/abs/1602.03609
https://doi.org/10.1109/ASRU.2015.7404872
http://aclweb.org/anthology/I08-
https://doi.org/10.18653/v1/D15-1166
http://aclweb.org/anthology/J11-2003
https://doi.org/10.18653/v1/P16-1044
https://doi.org/10.1145/2856767.2856776
https://doi.org/10.18653/v1/P16-
https://doi.org/10.1109/72.279181
http://aclweb.org/anthology/Q16-1019
Field Of Study
Task
Question Answering
Machine Translation
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