ADAPTIVE CONTEXT-DEPENDENT MACHINE TRANSLATION FOR HETEROGENEOUS TEXT

Truth inference at scale: A Bayesian model for adjudicating highly redundant crowd annotations

Y Li, BIP Rubinstein, T Cohn

2019-05-13

Crowd-sourcing is a cheap and popular means of creating training and evaluation datasets for machine learning, however it poses th..

Towards Robust and Privacy-preserving Text Representations

Yitong Li, Timothy Baldwin, Trevor Cohn

2018-01-01

Written text often provides sufficient clues to identify the author, their gender, age, and other important attributes. Consequent..

Convolution Kernels for Discriminative Learning from Streaming Text

M Lukasik, T COHN

2016-01-01

Time series modeling is an important problem with many applications in different domains. Here we consider discriminative learning..

Exploring Prediction Uncertainty in Machine Translation Quality Estimation

Daniel Beck, Lucia Specia, Trevor Cohn

2016-01-01

Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation env..

Learning Robust Representations of Text

Y Li, T Cohn, T Baldwin

2016-01-01

Deep neural networks have achieved remarkable results across many language processing tasks, however these methods are highly sens..

A Bayesian non-Linear Method for Feature Selection in Machine Translation Quality Estimation

Kashif Shah, Trevor Cohn, Lucia Specia

2015-06-23

We perform a systematic analysis of the effectiveness of features for the problem of predicting the quality of machine translation..

Predicting Peer-to-Peer Loan Rates using Bayesian Non-Linear Regression

Zsolt Bitvai, Trevor Cohn

2015-06-01

Peer-to-peer lending is a new highly liquid market for debt, which is rapidly growing in popularity. Here we consider modelling ma..

A Neural Network Model for Low-Resource Universal Dependency Parsing

L Duong, T Cohn, S BIRD, P Cook

2015-01-01

Accurate dependency parsing requires large treebanks, which are only available for a few languages. We propose a method that takes..

Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data

L Duong, T Cohn, S BIRD, P Cook

2015-01-01

Cross-lingual transfer has been shown to produce good results for dependency parsing of resource-poor languages. Although this avo..

Inducing Bilingual Lexicons from Small Quantities of Sentence-Aligned Phonemic Transcriptions

T COHN, O Adams, G Neubig, S Bird

2015-01-01

Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser

L Duong, T COHN, S Bird, P Cook

2015-01-01

Training a high-accuracy dependency parser requires a large treebank. However, these are costly and time-consuming to build. We pr..