Trevor Cohn

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor

Conference Proceedings  |  2019  |  Proceedings of the 18th BioNLP Workshop and Shared Task

Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems ..

Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

Nitika Mathur, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Accurate, automatic evaluation of machine translation is critical for system tuning, and evaluating progress in the field. We prop..

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Yitong Li, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Supervised models of NLP rely on large collections of text which closely resemble the intended testing setting. Unfortunately matc..

Contextualization of Morphological Inflection

Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner

Conference Proceedings  |  2019  |  CoRR

Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predi..

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

Y Li, BIP Rubinstein, T Cohn

Conference Proceedings  |  2019  |  The World Wide Web Conference on - WWW '19

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

A Unified Neural Architecture for Instrumental Audio Tasks

S Spratley, D Beck, T Cohn

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Within Music Information Retrieval (MIR), prominent tasks - including pitch-tracking, source-separation, super-resolu..

Gaussian processes for rumour stance classification in social media

M Lukasik, K Bontcheva, T Cohn, A Zubiaga, M Liakata, R Procter

Journal article  |  2019  |  ACM Transactions on Information Systems

Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation

Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud

Conference Proceedings  |  2019  |  LREC 2018 - 11th International Conference on Language Resources and Evaluation

Transcribing speech is an important part of language documentation, yet speech recognition technology has not been widely harnesse..

Deep Ordinal Regression for Pledge Specificity Prediction

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2019  |  Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Many pledges are made in the course of anelection campaign, forming important corporafor political analysis of campaign strategy a..

Exploiting Worker Correlation for Label Aggregation in Crowdsourcing

Trevor Cohn, Yuan LI, Benjamin Rubinstein

Conference Proceedings  |  2019  |  Proceedings of the 36th International Conference on Machine Learning

Crowdsourcing has emerged as a core component of data science pipelines. From collected noisy worker labels, aggregation models th..

Pairwise webpage coreference classification using distant supervision

S Shivashankar, T Baldwin, J Brooke, T Cohn

Conference Proceedings  |  2019  |  Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

Target Based Speech Act Classification in Political Campaign Text

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2019  |  Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)

We study pragmatics in political campaign text, through analysis of speech acts and the target of each utterance. We propose a new..

Grounding learning of modifier dynamics: An application to color naming

Xudong Han, Philip Schulz, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Grounding is crucial for natural language understanding. An important subtask is to understand modified color expressions, such as..

Massively Multilingual Transfer for NER

Afshin Rahimi, Yuan Li, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

In cross-lingual transfer, NLP models over one or more source languages are applied to a lowresource target language. While most p..

Neural Speech Translation using Lattice Transformations and Graph Networks

Daniel Beck, Trevor Cohn, Gholamreza Haffari

Conference Proceedings  |  2019  |  Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)

Speech translation systems usually follow a pipeline approach, using word lattices as an intermediate representation. However, pre..

Crowdsourcing critical appraisal of research evidence (CrowdCARE) was found to be a valid approach to assessing clinical research quality

Michael J Pianta, Eve Makrai, Karin M Verspoor, Trevor A Cohn, Laura E Downie

Journal article  |  2018  |  Journal of Clinical Epidemiology

Discourse-aware rumour stance classification in social media using sequential classifiers

A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, T Cohn, I Augenstein

Journal article  |  2018  |  Inf. Process. Manage.

Exploiting graph kernels for high performance biomedical relation extraction

Nagesh C Panyam, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao

Journal article  |  2018  |  J. Biomedical Semantics

Semi-supervised User Geolocation via Graph Convolutional Networks

Afshin Rahimi, Tim Baldwin, Trevor Cohn

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model

Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2018  |  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers

A Stochastic Decoder for Neural Machine Translation

Trevor Cohn, Philip Schulz, Wilker Aziz

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Narrative Modeling with Memory Chains and Semantic Supervision

Fei Liu, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers)

Deep-speare: A joint neural model of poetic language, meter and rhyme

Timothy Baldwin, Trevor Cohn, Julian Brooke, Jey Han Lau, Adam Hammond

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Graph-to-Sequence Learning using Gated Graph Neural Networks

Trevor Cohn, Gholamreza Haffari, Daniel Beck

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Towards Robust and Privacy-preserving Text Representations

Yitong Li, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Iterative Back-Translation for Neural Machine Translation

Cong Duy Vu Hoang, Philipp Koehn, Gholamreza Haffari, Trevor Cohn

Conference Proceedings  |  2018  |  Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, NMT@ACL 2018, Melbourne, Australia, July 20, 2018

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis

Fei Liu, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers)

What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training

Yitong Li, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers)

Integrating Automatic Transcription into the Language Documcntation Workflow: Experiments with Na Data and the Persephone Toolkit

Alexis Michaud, Oliver Adams, Trevor Anthony Cohn, Graham Neubig, Severine Guillaume

Journal article  |  2018  |  Language Documentation and Conservation

Automatic speech recognition tools have potential for facilitating language documentation, but in practice these tools remain litt..

End-to-end Network for Twitter Geolocation Prediction and Hashing

Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression

Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks

Afshin Rahimi, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Context-Aware Prediction of Derivational Word-forms

Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn

Journal article  |  2017  |  CoRR

Towards Decoding as Continuous Optimisation in Neural Machine Translation

Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn

Conference Proceedings  |  2017  |  EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Learning Kernels over Strings using Gaussian Processes

Daniel Beck, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of IJCNLP

Non-contiguous word sequences are widely known to be important in mod-elling natural language. However they are not explicitly enc..

Decoding as Continuous Optimization in Neural Machine Translation

Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn

Journal article  |  2017  |  CoRR

Multi-step Prediction with Missing Smart Sensor Data using Multi-task Gaussian Processes

Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017

Phonemic Transcription of Low-Resource Tonal Languages

Oliver Adams, Trevor Cohn, Graham Neubig, Alexis Michaud

Conference Proceedings  |  2017  |  Proceedings of the Australasian Language Technology Association Workshop, ALTA 2017, Brisbane, Australia, December 6-8, 2017

Transcription of speech is an important part of language documentation, and yet speech recognition technology has not been widely ..

Compressed Nonparametric Language Modelling

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Meng Fang, Yuan Li, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Sequence Effects in Crowdsourced Annotations

N Mathur, T Baldwin, T Cohn

Conference Proceedings  |  2017  |  EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Towards Decoding as Continuous Optimisation in Neural Machine Translation

CDV Hoang, G Haffari, T Cohn

Conference Proceedings  |  2017  |  CoRR

A Neural Model for User Geolocation and Lexical Dialectology

Afshin Rahimi, Trevor Cohn, Timothy Baldwin

Conference Proceedings  |  2017  |  CoRR

Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields

Fei Liu, Timothy Baldwin, Trevor Cohn

Journal article  |  2017  |  CoRR

A Neural Model for User Geolocation and Lexical Dialectology

Afshin Rahimi, Trevor Cohn, Timothy Baldwin

Journal article  |  2017  |  CoRR

Decoupling Encoder and Decoder Networks for Abstractive Document Summarization

Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the Workshop on Summarization and Summary Evaluation Across Source Types and Genres, MultiLing@EACL 2017, Valencia, Spain, April 3, 2017

Abstractive document summarization seeks to automatically generate a summary for a document, based on some abstract “understanding..

Improving End-to-End Memory Networks with Unified Weight Tying

F Liu, T Cohn, T Baldwin

Conference Proceedings  |  2017  |  Proceedings of the Australasian Language Technology Association Workshop, ALTA 2017, Brisbane, Australia, December 6-8, 2017

Multilingual Training of Crosslingual Word Embeddings

Hiroshi Kanayama, Trevor Cohn, Tengfei Ma, Steven Bird, Long Duong

Conference Proceedings  |  2017  |  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields

Fei Liu, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary

Meng Fang, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks

PK Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17

Topically Driven Neural Language Model

Jey Han Lau, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari

Conference Proceedings  |  2017  |  Proceedings of the First Workshop on Subword and Character Level Models in NLP

Out-of-vocabulary words present a great challenge for Machine Translation. Recently various character-level compositional models w..

Robust Training under Linguistic Adversity

Timothy Baldwin, Trevor Cohn, Yitong Li

Conference Proceedings  |  2017  |  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

Cross-Lingual Word Embeddings for Low-Resource Language Modeling

Trevor Cohn, Steven Bird, Graham Neubig, Oliver Adams, Adam J Makarucha

Conference Proceedings  |  2017  |  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

Context-Aware Prediction of Derivational Word-forms

Timothy Baldwin, Trevor Cohn, Ekaterina Vylomova, Ryan Cotterell

Conference Proceedings  |  2017  |  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

Joint Sentence-Document Model for Manifesto Text Analysis

Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke

Conference Proceedings  |  2017  |  Proceedings of the Australasian Language Technology Association Workshop, ALTA 2017, Brisbane, Australia, December 6-8, 2017

Election manifestos document the intentions, motives, and views of political parties. They are often used for analysing party poli..

Learning a Lexicon and Translation Model from Phoneme Lattices

O Adams, G Neubig, T Cohn, S Bird, QT Do, S Nakamura

Conference Proceedings  |  2016  |  EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari

Conference Proceedings  |  2016  |  2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning

E Vylomova, L Rimell, T Cohn, T Baldwin

Conference Proceedings  |  2016  |  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers

Succinct data structures for NLP-at-scale

M Petri, T Cohn

Conference Proceedings  |  2016  |  COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Tutorial Abstracts

An Attentional Model for Speech Translation Without Transcription

L Duong, A Anastasopoulos, D Chiang, S Bird, T Cohn

Conference Proceedings  |  2016  |  2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Learning a Translation Model from Word Lattices

O Adams, G Neubig, T Cohn, S Bird

Conference Proceedings  |  2016  |  Interspeech 2016

Fast, Small and Exact: Infinite-order Language Modeling with Compressed Suffix Trees

E Shareghi, M Petri, G Haffari, T Cohn

Journal article  |  2016  |  Transactions of the Association for Computational Linguistics

Exploring Prediction Uncertainty in Machine Translation Quality Estimation

Daniel Beck, Lucia Specia, Trevor Cohn

Conference Proceedings  |  2016  |  CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings

pigeo: A Python Geotagging Tool

A Rahimi, T Cohn, T Baldwin

Conference Proceedings  |  2016  |  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling

E Shareghi, T Cohn, G Haffari

Conference Proceedings  |  2016  |  EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Exploiting Tree Kernels for high performance Chemical Induced Disease relation extraction

NC Panyam, K Verspoor, T Cohn, K Ramamohanarao

Conference Proceedings  |  2016  |  CEUR Workshop Proceedings

Document Context Language Models

Y Ji, T Cohn, L Kong, C Dyer, J Eisenstein

Conference Proceedings  |  2016  |  Proceedings of International Conference on Learning Representations Workshop

Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter

M Lukasik, SPN Kusumam, K Bontcheva, T Cohn

Conference Proceedings  |  2016  |  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers

SeeDev Binary Event Extraction using SVMs and a Rich Feature Set

NC Panyam, G Khirbat, K Verspoor, T Cohn, K Ramamohanarao

Conference Proceedings  |  2016  |  BioNLP-ST

Learning Robust Representations of Text

Y Li, T Cohn, T Baldwin

Conference Proceedings  |  2016  |  EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection

M Fang, T Cohn

Conference Proceedings  |  2016  |  CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings

Convolution Kernels for Discriminative Learning from Streaming Text

M Lukasik, T COHN

Conference Proceedings  |  2016  |  30th AAAI Conference on Artificial Intelligence, AAAI 2016

Incorporating Side Information into Recurrent Neural Network Language Models

CDV Hoang, G Haffari, T Cohn

Conference Proceedings  |  2016  |  2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Studying the temporal dynamics of word co-occurrences: An application to event detection

D Preotiuc-Pietro, SPN Kusumam, M Hepple, T Cohn

Conference Proceedings  |  2016  |  Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016

Learning Crosslingual Word Embeddings without Bilingual Corpora

L Duong, H Kanayama, T Ma, S Bird, T Cohn

Conference Proceedings  |  2016  |  EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Day trading profit maximization with multi-task learning and technical analysis

Zsolt Bitvai, Trevor Cohn

Journal article  |  2015  |  Machine Learning

A Bayesian non-linear method for feature selection in machine translation quality estimation

K Shah, T Cohn, L Specia

Journal article  |  2015  |  Machine Translation

Classifying Tweet Level Judgements of Rumours in Social Media

M Lukasik, T Cohn, K Bontcheva

Conference Proceedings  |  2015  |  Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

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

Zsolt Bitvai, Trevor Cohn

Conference Proceedings  |  2015  |  Proceedings of the National Conference on Artificial Intelligence

Structured Prediction of Sequences and Trees Using Infinite Contexts

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann Nicholson

Other  |  2015  |  CoRR

Point Process Modelling of Rumour Dynamics in Social Media

M Lukasik, T COHN, K Bontcheva

Conference Proceedings  |  2015  |  ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

A Neural Network Model for Low-Resource Universal Dependency Parsing

L Duong, T Cohn, S BIRD, P Cook

Conference Proceedings  |  2015  |  Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

Modeling Tweet Arrival Times using Log-Gaussian Cox Processes

M Lukasik, PK Srijith, T Cohn, K Bontcheva

Conference Proceedings  |  2015  |  Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees

E Shareghi, M Petri, G Haffari, T Cohn

Conference Proceedings  |  2015  |  Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

Learning Structural Kernels for Natural Language Processing

Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia

Journal article  |  2015  |  Transactions of the Association for Computational Linguistics

Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data

L Duong, T Cohn, S BIRD, P Cook

Conference Proceedings  |  2015  |  CoNLL 2015 - 19th Conference on Computational Natural Language Learning, Proceedings

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

L Duong, T COHN, S Bird, P Cook

Conference Proceedings  |  2015  |  ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

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

T COHN, O Adams, G Neubig, S Bird

Conference Proceedings  |  2015

Exploiting Text and Network Context for Geolocation of Social Media Users

A Rahimi, D Vu, TA COHN, T Baldwin

Conference Proceedings  |  2015  |  Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Non-Linear Text Regression with a Deep Convolutional Neural Network

Z Bitvak, T COHN

Conference Proceedings  |  2015  |  ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Twitter User Geolocation Using a Unified Text and Network Prediction Model

A Rahimi, T COHN, T Baldwin

Conference Proceedings  |  2015  |  ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Low-Resource Neural Network Modelling for Universal Dependency Parsing

Long Duong, Trevor Cohn, Steven Bird, Paul Cook

Conference Proceedings  |  2015  |  Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)

What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages

L Duong, T Cohn, CM VERSPOOR, S Bird, P Cook

Conference Proceedings  |  2014  |  Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Factored Markov Translation with Robust Modeling

Y Feng, TA Cohn, X Du

Conference Proceedings  |  2014  |  Proceedings of the Eighteenth Conference on Computational Natural Language Learning

Joint Emotion Analysis via Multi-task Gaussian Processes

Daniel Beck, Trevor Cohn, Lucia Specia

Conference Proceedings  |  2014  |  EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Predicting and characterising user impact on Twitter

V Lampos, N Aletras, D Preoţiuc-Pietro, T Cohn

Conference Proceedings  |  2014  |  Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

Simple extensions for a reparameterised IBM Model 2

D Gelling, T Cohn

Conference Proceedings  |  2014  |  52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Data Selection for Discriminative Training in Statistical Machine Translation

X Song, L Specia, TA Cohn

Conference Proceedings  |  2014  |  Proceedings of the Seventeenth Annual Conference of the European Association for Machine Translation

Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly

V Lampos, D Preotiuc-Pietro, S Samangooei, D Gelling, TA Cohn

Conference Proceedings  |  2014  |  Proceedings of the ACL Workshop on Language Technologies and Computational Social Science

An Abstractive Approach to Sentence Compression

Trevor Cohn, Mirella Lapata

Journal article  |  2013  |  ACM Transactions on Intelligent Systems and Technology

Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation

T Cohn, L Specia

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

Mining User Behaviors: A study of check-in patterns in Location Based Social Networks

D Preotiuc-Pietro, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 3rd Annual ACM Web Science Conference

An Investigation on the Effectiveness of Features for Translation Quality Estimation

K Shah, T Cohn, L Specia

Conference Proceedings  |  2013  |  Proceedings of the XIV Machine Translation Summit

QuEst - A translation quality estimation framework

L Specia, K Shah, JGC de Souza, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

An Infinite Hierarchical Bayesian Model of Phrasal Translation

T Cohn, G Haffari

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

Topic-oriented Words as Features for Named Entity Recognition

Z Zhang, T Cohn, F Ciravegna

Conference Proceedings  |  2013  |  Computational Linguistics and Intelligent Text Processing

Reducing Annotation Effort for Quality Estimation via Active Learning

Daniel Beck, Lucia Specia, Trevor Cohn

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

Where's @wally?: a classification approach to geolocating users based on their social ties

D Rout, D Preotiuc-Pietro, K Bontcheva, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 24th ACM Conference on Hypertext and Social Media

SHEF-Lite : When Less is More for Translation Quality Estimation

Daniel Beck, Kashif Shah, Trevor Cohn, Lucia Specia

Conference Proceedings  |  2013  |  Proceedings of the Eighth Workshop on Statistical Machine Translation

A Markov Model of Machine Translation using Non-parametric Bayesian Inference

Y Feng, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

A temporal model of text periodicities using Gaussian Processes

D Preotiuc-Pietro, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

A user-centric model of voting intention from Social Media

V Lampos, D Preotiuc-Pietro, T Cohn

Conference Proceedings  |  2013  |  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics

BLEU deconstructed: Designing a Better MT Evaluation Metric

X Song, T Cohn, L Specia

Conference Proceedings  |  2013  |  International Journal of Computational Linguistics and Applications

ADAPTATION OF LECTURE SPEECH RECOGNITION SYSTEM WITH MACHINE TRANSLATION OUTPUT

Raymond WM Ng, Thomas Hain, Trevor Cohn

Conference Proceedings  |  2013  |  2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Trendminer: An architecture for real time analysis of social media text

D Preoţiuc-Pietro, S Samangooei, T Cohn, N Gibbins, M Niranjan

Conference Proceedings  |  2012  |  Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media

Left-to-right tree-to-string decoding with prediction

Y Feng, Y Liu, Q Liu, T Cohn

Conference Proceedings  |  2012  |  Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure

Book  |  2012

Using senses in HMM word alignment

D Gelling, T Cohn

Conference Proceedings  |  2012  |  Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure

The PASCAL Challenge on Grammar Induction

D Gelling, T Cohn

Conference Proceedings  |  2012  |  Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure

Evaluating a morphological analyser of inuktitut

J Nicholson, T Cohn, T Baldwin

Conference Proceedings  |  2012  |  In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Redundancy reduction for multi-document summaries using A* search and discriminative training

A Aker, T Cohn, R Gaizauskas

Conference Proceedings  |  2012  |  Proceedings of the 2nd International Workshop on Exploiting Large Knowledge Repositories and the 1st International Workshop on Automatic Text Summarization for the Future

A hierarchical Pitman-Yor process HMM for unsupervised part of speech induction

P Blunsom, T Cohn

Conference Proceedings  |  2011  |  Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

Regression and ranking based optimisation for sentence level machine translation evaluation

X Song, T Cohn

Conference Proceedings  |  2011  |  Proceedings of the Sixth Workshop on Statistical Machine Translation

Inducing synchronous grammars with slice sampling

P Blunsom, T Cohn

Conference Proceedings  |  2010  |  Proceedings of the Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Blocked inference in Bayesian tree substitution grammars

T Cohn, P Blunsom

Conference Proceedings  |  2010  |  Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics Short Papers

Unsupervised induction of tree substitution grammars for dependency parsing

P Blunsom, T Cohn

Conference Proceedings  |  2010  |  Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

Multi-document summarization using A * search and discriminative training

A Aker, T Cohn, R Gaizauskas

Conference Proceedings  |  2010  |  Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

Inducing Tree-Substitution Grammars

Trevor Cohn, Phil Blunsom, Sharon Goldwater

Journal article  |  2010  |  Journal of Machine Learning Research

Word lattices for multi-source translation

J Schroeder, T Cohn, P Koehn

Conference Proceedings  |  2009  |  Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics

A Bayesian model of syntax-directed tree to string grammar induction

T Cohn, P Blunsom

Conference Proceedings  |  2009  |  Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

A note on the implementation of hierarchical dirichlet processes

P Blunsom, S Goldwater, T Cohn, M Johnson

Conference Proceedings  |  2009  |  Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

Inducing compact but accurate tree-substitution grammars

T Cohn, S Goldwater, P Blunsom

Conference Proceedings  |  2009  |  Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Bayesian synchronous grammar induction

P Blunsom, T Cohn, M Osborne

Conference Proceedings  |  2009  |  Proceedings of the Advances in Neural Information Processing Systems 21

Sentence compression as tree transduction

T Cohn, M Lapata

Journal article  |  2009  |  Journal of Artificial Intelligence Research

This paper presents a tree-to-tree transduction method for sentence compression. Our model is based on synchronous tree substituti..

A Gibbs sampler for phrasal synchronous grammar induction

P Blunsom, T Cohn, C Dyer, M Osborne

Conference Proceedings  |  2009  |  Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP

Constructing Corpora for the Development and Evaluation of Paraphrase Systems

Trevor Cohn, Chris Callison-Burch, Mirella Lapata

Journal article  |  2008  |  Computational Linguistics

ParaMetric: An automatic evaluation metric for paraphrasing

C Callison-Burch, T Cohn, M Lapata

Conference Proceedings  |  2008  |  Proceedings of the 22nd International Conference on Computational Linguistics

Sentence compression beyond word deletion

T Cohn, M Lapata

Conference Proceedings  |  2008  |  Proceedings of the 22nd International Conference on Computational Linguistics

A discriminative latent variable model for statistical machine translation

P Blunsom, T Cohn, M Osborne

Conference Proceedings  |  2008  |  Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

Large margin synchronous generation and its application to sentence compression

T Cohn, M Lapata

Conference Proceedings  |  2007  |  EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

Machine translation by triangulation: Making effective use of multi-parallel corpora

T Cohn, M Lapata

Conference Proceedings  |  2007  |  ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics

Scaling conditional random fields for natural language processing

Trevor Cohn

Thesis / Dissertation  |  2007

Discriminative Word Alignment with Conditional Random Fields

Phil Blunsom, Trevor Cohn

Conference Proceedings  |  2006  |  COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Efficient inference in large conditional random fields

Trevor Cohn

Conference Proceedings  |  2006  |  Proceedings of the 17th European Conference on Machine Learning (ECML)

Scaling conditional random fields using error-correcting codes

T Cohn, A Smith, M Osborne

Conference Proceedings  |  2005  |  ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Logarithmic opinion pools for conditional random fields

A Smith, T Cohn, M Osborne

Conference Proceedings  |  2005  |  Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05

Semantic role labelling with tree conditional random fields

T Cohn, P Blunsom

Conference Proceedings  |  2005  |  Proceedings of the Ninth Conference on Computational Natural Language Learning - CONLL '05

Performance Metrics for Word Sense Disambiguation

Trevor Cohn

Conference Proceedings  |  2003  |  Proceedings of the Australasian Language Technology Workshop (ALTW)