566 citations · 2.3k across the 23 of their papers we have counts for
5 papers · 1 filter
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…
Large-scale Simple Question Answering with Memory Networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra +1
Training large-scale question answering systems is complicated because training sources usually cover a small portion of the range of possible questions. This paper studies the imp…
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier +1
This paper tackles the problem of endogenous link prediction for Knowledge Base completion. Knowledge Bases can be represented as directed graphs whose nodes correspond to entities…
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston, Antoine Bordes, Sumit Chopra +4
One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent. T…