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4 papers · 2 filters
Strategies for Training Large Vocabulary Neural Language Models
Welin Chen, David Grangier, Michael Auli
Training neural network language models over large vocabularies is still computationally very costly compared to count-based models such as Kneser-Ney. At the same time, neural lan…
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Jesse Dodge, Andreea Gane, Xiang Zhang +5
A long-term goal of machine learning is to build intelligent conversational agents. One recent popular approach is to train end-to-end models on a large amount of real dialog trans…
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill, Antoine Bordes, Sumit Chopra +1
We introduce a new test of how well language models capture meaning in children's books. Unlike standard language modelling benchmarks, it distinguishes the task of predicting synt…
Phrase-based Image Captioning
Rémi Lebret, Pedro O. Pinheiro, Ronan Collobert
Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model…