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8 papers · 2 filters
Letter-Based Speech Recognition with Gated ConvNets
Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
In the recent literature, "end-to-end" speech systems often refer to letter-based acoustic models trained in a sequence-to-sequence manner, either via a recurrent model or via a st…
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Zhilin Yang, Saizheng Zhang, Jack Urbanek +5
Contrary to most natural language processing research, which makes use of static datasets, humans learn language interactively, grounded in an environment. In this work we propose…
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
Current models for document summarization disregard user preferences such as the desired length, style, the entities that the user might be interested in, or how much of the docume…
QuickEdit: Editing Text & Translations by Crossing Words Out
David Grangier, Michael Auli
We propose a framework for computer-assisted text editing. It applies to translation post-editing and to paraphrasing. Our proposal relies on very simple interactions: a human edit…
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Brenden M. Lake, Marco Baroni
Humans can understand and produce new utterances effortlessly, thanks to their compositional skills. Once a person learns the meaning of a new verb "dax," he or she can immediately…
Discourse Structure in Machine Translation Evaluation
Shafiq Joty, Francisco Guzmán, Lluís Màrquez +1
In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which…