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Learning to Generate Code Comments from Class Hierarchies ...
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TellMeWhy: A Dataset for Answering Why-Questions in Narratives ...
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Supervised attention from natural language feedback for reinforcement learning
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Learning to Update Natural Language Comments Based on Code Changes ...
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Continually improving grounded natural language understanding through human-robot dialog
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STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE
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Identifying lexical relationships and entailments with distributional semantics
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Natural-language video description with deep recurrent neural networks
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Using Sentence-Level LSTM Language Models for Script Inference ...
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Representing Meaning with a Combination of Logical and Distributional Models ...
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Inducing grammars from linguistic universals and realistic amounts of supervision
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Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language ...
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18 |
Grounded language learning models for ambiguous supervision
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