Antoine Bordes

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Translating Embeddings for Modeling Multi-relational Data

Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, Oksana Yakhnenko
NIPS
2013

We consider the problem of embedding entities and relationships of multirelational data in low-dimensional vector spaces. Our objective is to propose a canonical model which is easy to train,… (More)

Deep Sparse Rectifier Neural Networks

Xavier Glorot, Antoine Bordes, Yoshua Bengio
AISTATS
2011

Rectifying neurons are more biologically plausible than logistic sigmoid neurons, which are themselves more biologically plausible than hyperbolic tangent neurons. However, the latter work better for… (More)

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach

Xavier Glorot, Antoine Bordes, Yoshua Bengio
ICML
2011

The exponential increase in the availability of online reviews and recommendations makes sentiment classification an interesting topic in academic and industrial research. Reviews can span so many… (More)

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes
EMNLP
2017

Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as… (More)

Fast Kernel Classifiers with Online and Active Learning

Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou
Journal of Machine Learning Research
2005

Very high dimensional learning systems become theoretical ly possible when training examples are abundant. The computing cost then becomes the limiting fact or. Any efficient learning algorithm… (More)

Learning Structured Embeddings of Knowledge Bases

Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio
AAAI
2011

Many Knowledge Bases (KBs) are now readily available and encompass colossal quantities of information thanks to either a long-term funding effort (e.g. WordNet, OpenCyc) or a collaborative process… (More)

Reading Wikipedia to Answer Open-Domain Questions

Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes
ACL
2017

predict end token predict start token The input vectors consist of: • Word embeddings • Exact match features: whether the word appears in question • Token features: POS, NER, term frequency • Aligned… (More)

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Jason Weston, Antoine Bordes, Sumit Chopra, Tomas Mikolov
ArXiv
2015

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. To measure progress… (More)

A semantic matching energy function for learning with multi-relational data

Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio
Machine Learning
2013

Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from computational biology or information… (More)

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
ArXiv
2015

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 syntactic function… (More)

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