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Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help? ...
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Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? ...
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Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation ...
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Collective Wisdom: Improving Low-resource Neural Machine Translationusing Adaptive Knowledge Distillation ...
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Learning how to actively learn: a deep imitation learning approach
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Distinguishing question subjectivity from difficulty for improved crowdsourcing
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Leveraging linguistic resources for improving neural text classification
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Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon ...
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Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
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In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (2015)
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Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
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In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (2015)
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Topic Segmentation with a Structured Topic Model
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In: Topic Segmentation with a Structured Topic Model (2015)
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Topic Segmentation with a Structured Topic Model
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In: Topic Segmentation with a Structured Topic Model (2015)
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Numerical Algorithms for the Analysis of Expert Opinions Elicited in Text Format
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In: DTIC (2013)
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