Joseph P. Turian

Publications
Influence

Word Representations: A Simple and General Method for Semi-Supervised Learning

Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio
Computer Science
ACL
11 July 2010

In this work, we compare different techniques for inducing word representations, evaluating them on the tasks of named entity recognition (NER) and chunking. Expand

2,008
170
PDF

Theano: A Python framework for fast computation of mathematical expressions

Rami Al-Rfou, G. Alain, +109 authors Y. Zhang
Mathematics, Computer Science
ArXiv
9 May 2016

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Expand

1,893
141
PDF

Evaluation of Machine Translation and its Evaluation

Joseph P. Turian, Luke Shea, I. Melamed
Computer Science
2006

We show that machine translation can be evaluated using the well-known measures precision, recall, and their average, the F-measure. Expand

Theano: A CPU and GPU Math Compiler in Python

J. Bergstra, Olivier Breuleux, +6 authors Yoshua Bengio
Computer Science
2010

Theano is a compiler for mathematical expressions in Python that combines the convenience of NumPy's syntax with the speed of optimized native machine language. Expand

Precision and Recall of Machine Translation

I. Melamed, Ryan Green, Joseph P. Turian
Computer Science
HLT-NAACL
27 May 2003

Machine translation can be evaluated using precision, recall, and the F-measure. Expand

Accurate Dependency Parsing with a Stacked Multilayer Perceptron

Giuseppe Attardi, Felice Dell'Orletta, M. Simi, Joseph P. Turian
Computer Science
2009

DeSR is a statistical transition-based dependency parser which learns from annotated corpora which actions to perform for building parse trees while scanning a sentence. Expand

Advances in Discriminative Parsing

Joseph P. Turian, I. Melamed
Computer Science
ACL
17 July 2006

We propose a flexible, end-to-end discriminative method for training parsers, demonstrating techniques that might also be useful for other structured prediction problems. Expand

Experience Grounds Language

Yonatan Bisk, Ari Holtzman, +9 authors Joseph P. Turian
Computer Science
EMNLP
21 April 2020

We call for and embrace the incremental, but purposeful, contextualization of language in human experience. Expand

Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest

H. Larochelle, Yoshua Bengio, Joseph P. Turian
Mathematics, Computer Science
Neural Computation
1 September 2010

We investigate the problem of estimating the density function of multivariate binary data. Expand

A Preliminary Evaluation of Word Representations for Named-Entity Recognition

Joseph P. Turian
2009

We use different word representations as word features for a named-entity recognition (NER) system with a linear model. This work is part of a larger empirical survey, evaluating different word… Expand

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