Wei Pang
2018
Towards making NLG a voice for interpretable Machine Learning
James Forrest
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Somayajulu Sripada
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Wei Pang
|
George Coghill
Proceedings of the 11th International Conference on Natural Language Generation
This paper presents a study to understand the issues related to using NLG to humanise explanations from a popular interpretable machine learning framework called LIME. Our study shows that self-reported rating of NLG explanation was higher than that for a non-NLG explanation. However, when tested for comprehension, the results were not as clear-cut showing the need for performing more studies to uncover the factors responsible for high-quality NLG explanations.
2005
The CASIA Phrase-Based Machine Translation System
Wei Pang
|
Zhendong Yang
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Zhenbiao Chen
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Wei Wei
|
Bo Xu
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Chengqing Zong
Proceedings of the Second International Workshop on Spoken Language Translation
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Co-authors
- James Forrest 1
- Somayajulu Sripada 1
- George Coghill 1
- Zhendong Yang 1
- Zhenbiao Chen 1
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