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07/18/2022
MAD for Robust Reinforcement Learning in Machine Translation
We introduce a new distributed policy gradient algorithm and show that i...
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02/23/2022
Enabling arbitrary translation objectives with Adaptive Tree Search
We introduce an adaptive tree search algorithm, that can find high-scori...
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10/18/2019
A Mutual Information Maximization Perspective of Language Representation Learning
We show state-of-the-art word representation learning methods maximize a...
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10/01/2019
Putting Machine Translation in Context with the Noisy Channel Model
We show that Bayes' rule provides a compelling mechanism for controlling...
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01/31/2019
Learning and Evaluating General Linguistic Intelligence
We define general linguistic intelligence as the ability to reuse previo...
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01/27/2019
Variational Smoothing in Recurrent Neural Network Language Models
We present a new theoretical perspective of data noising in recurrent ne...
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11/26/2018
Sentence Encoding with Tree-constrained Relation Networks
The meaning of a sentence is a function of the relations that hold betwe...
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05/11/2017
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Solving algebraic word problems requires executing a series of arithmeti...
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03/06/2017
Generative and Discriminative Text Classification with Recurrent Neural Networks
We empirically characterize the performance of discriminative and genera...
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12/31/2016
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces
Recent approaches for sentiment lexicon induction have capitalized on pr...
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11/28/2016
Learning to Compose Words into Sentences with Reinforcement Learning
We use reinforcement learning to learn tree-structured neural networks f...
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11/05/2016
Reference-Aware Language Models
We propose a general class of language models that treat reference as an...
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09/29/2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders
We present a novel semi-supervised approach for sequence transduction an...
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06/09/2016
Neural Network-Based Abstract Generation for Opinions and Arguments
We study the problem of generating abstractive summaries for opinionated...
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05/12/2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
We use Bayesian optimization to learn curricula for word representation ...
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03/22/2016
Latent Predictor Networks for Code Generation
Many language generation tasks require the production of text conditione...
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08/09/2015
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
We introduce a model for constructing vector representations of words by...
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08/06/2015
Privacy-Preserving Multi-Document Summarization
State-of-the-art extractive multi-document summarization systems are usu...
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05/29/2015