Papers

Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Felix (Fei) Liu, Timothy Baldwin and Trevor Cohn. In Proceedings of IJCNLP, 2017.
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End-to-end Network for Twitter Geolocation Prediction and Hashing
Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran and Trevor Cohn. In Proceedings of IJCNLP, 2017.
Learning Kernels over Strings using Gaussian Processes
Daniel Beck and Trevor Cohn. In Proceedings of IJCNLP, 2017.
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In Proceedings of EMNLP, 2017.
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Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li and Trevor Cohn. In Proceedings of EMNLP, 2017.
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Towards Decoding as Continuous Optimisation in Neural Machine Translation
Cong Duy Vu Hoang, Gholamreza Haffari and Trevor Cohn. In Proceedings of EMNLP, 2017.
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Sequencing bias in Crowd-sourced annotation for NLP
Nitika Mathur, Timothy Baldwin and Trevor Cohn. In Proceedings of EMNLP, 2017.
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Word Representation Models for Morphologically Rich Languages in Neural Machine Translation
Ekaterina Vylomova, Trevor Cohn, Xuanli He and Gholamreza Haffari. In Proceedings of SCLEM workshop at EMNLP, 2017.
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Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression
Pasan Karunaratne, Shanika Karunasekera, Masud Moshtaghi, Aaron Harwood and Trevor Cohn. In Proceedings of IJCAI, 2017.
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Compressed Nonparametric Language Modelling
Ehsan Shareghi, Trevor Cohn and Gholamreza Haffari. In Proceedings of IJCAI, 2017.
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Topically Driven Neural Language Model
Jey Han Lau, Timothy Baldwin and Trevor Cohn. In Proceedings of ACL, 2017.
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Model Transfer for Tagging Low-resource Languages without Bilingual Corpora
Meng Fang and Trevor Cohn. In Proceedings of ACL, 2017.
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A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In Proceedings of ACL, 2017.
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Longitudinal Modeling of Social Media with Hawkes Process based on Users and Networks
P.K. Srijith, Michal Lukasik, Kalina Bontcheva and Trevor Cohn. In Proceedings of ASONAM, 2017.
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin. In arXiv preprint, 2017.
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Context-Aware Prediction of Derivational Word-forms
Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn and Timothy Baldwin. In Proceedings of EACL (short), 2017.
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Robust Training under Linguistic Adversity
Yitong Li, Trevor Cohn and Timothy Baldwin. In Proceedings of EACL (short), 2017.
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Pairwise Webpage Coreference Classification using Distant Supervision
Shivashankar Subramanian, Timothy Baldwin, Julian Brooke and Trevor Cohn. In Proceedings of WWW (posters), 2017.
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Cross-Lingual Word Embeddings for Low-Resource Language Modeling
Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird and Trevor Cohn. In Proceedings of EACL, 2017.
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Multilingual Training of Crosslingual Word Embeddings
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn. In Proceedings of EACL, 2017.
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Proceedings of the Australasian Language Technology Association (ALTA) workshop
Trevor Cohn (editor). 2016.
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ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction
Nagesh C Panyam, Karin Verspoor, Trevor Cohn and Kotagiri Rao. In Proceedings of ALTA, 2016.
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Improving Neural Translation Models with Linguistic Factors
Cong Duy Vu Hoang, Reza Haffari and Trevor Cohn. In Proceedings of ALTA, 2016.
Winner of best student paper award
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Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn. In Transactions of ACL (TACL) (to be presented at EMNLP-16), 2016.
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Learning Crosslingual Word Embeddings without Bilingual Corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn. In Proceedings of EMNLP, 2016.
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Learning a Lexicon and Translation Model from Phoneme Lattices
Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do and Satoshi Nakamura. In Proceedings of EMNLP (short papers), 2016.
Winner of Best Short Paper Award
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Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling
Ehsan Shareghi, Trevor Cohn and Gholamreza Haffari. In Proceedings of EMNLP (short papers), 2016.
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Learning Robust Representations of Text
Yitong Li, Trevor Cohn and Timothy Baldwin. In Proceedings of EMNLP (short papers), 2016.
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Learning a Translation Model from Word Lattices
Oliver Adams, Graham Neubig, Trevor Cohn and Steven Bird. In Proceedings of Interspeech-16, 2016.
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Exploiting Tree Kernels for high performance Chemical Induced Disease relation extraction
Nagesh C. Panyam, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao. In Proceedings of International Symposium on Semantic Mining in Biomedicine (SMBM), 2016.
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SeeDev Binary Event Extraction using SVMs and a Rich Feature Set
Nagesh C. Panyam, Gitansh Khirbat, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao. In Proceedings of BioNLP-ST, 2016.
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Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang and Trevor Cohn. In Proceedings of CoNLL-16, 2016.
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Exploring Prediction Uncertainty in Machine Translation Quality Estimation,
Daniel Beck, Lucia Specia and Trevor Cohn. In Proceedings of CoNLL-16, 2016.
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Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova, Laura Rimell, Trevor Cohn and Timothy Baldwin. In Proceedings of ACL-16, 2016.
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pigeo: A Python Geotagging Tool
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In Proceedings of ACL-16 (Demonstrations), 2016.
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Hawkes Processes for Continuous Time Sequence Classification: An Application to Rumour Stance Classification in Twitter
Michal Lukasik, P.K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga and Trevor Cohn. In Proceedings of ACL-16 (Short papers), 2016.
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Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vylomova, Kaisheng Yao, Chris Dyer and Gholamreza Haffari. In Proceedings of NAACL-16, 2016.
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An Attentional Model for Speech Translation Without Transcription
Long Duong, Antonios Anastasopoulos, Steven Bird, David Chiang and Trevor Cohn. In Proceedings of NAACL-16, 2016.
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Incorporating Context into Recurrent Neural Network Language Models
Cong Duy Vu Hoang, Gholamreza Haffari and Trevor Cohn. In Proceedings of NAACL-16 (short), 2016.
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Document Context Language Models
Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein. In Proceedings of ICLR-16 Workshop, 2016.
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Convolution Kernels for Discriminative Learning from Streaming Text
Michal Lukasik and Trevor Cohn. In Proceedings of AAAI-16, 2016.
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Studying the temporal dynamics of word co-occurrences: An application to event detection
Daniel Preoţiuc-Pietro, P. K. Srijith, Mark Hepple and Trevor Cohn. In Proceedings of LREC-16, 2016.
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Inducing Bilingual Lexicons from Small Quantities of Sentence-Aligned Phonemic Transcriptions
Oliver Adams, Graham Neubig, Trevor Cohn and Steven Bird. In Proceedings of IWSLT-15, 2015.
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Low-Resource Neural Network Modelling for Universal Dependency Parsing
Long Duong, Trevor Cohn, Steven Bird and Paul Cook. In Proceedings of EMNLP-15, 2015.
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Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn. In Proceedings of EMNLP-15, 2015.
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Classifying Tweet Level Judgements of Rumours in Social Media
Michal Lukasik, Trevor Cohn and Kalina Bontcheva. In Proceedings of EMNLP-15 (short), 2015.
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Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
Michal Lukasik, Srijith Prabhakaran Nair Kusumam, Trevor Cohn and Kalina Bontcheva. In Proceedings of EMNLP-15 (short), 2015.
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Learning Adaptive Structural Kernels for Natural Language Processing
Daniel Beck, Trevor Cohn, Christian Hardmeier and Lucia Specia. In Transactions of ACL (TACL) (to be presented at EMNLP-15), 2015.
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Depth-Gated LSTM
Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh, Chris Dyer. In arXiv preprint, 2015.
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Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
Long Duong, Trevor Cohn, Steven Bird and Paul Cook. In Proceedings of CoNLL-15, 2015.
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Non-Linear Text Regression with a Deep Convolutional Neural Network
Zsolt Bitvai and Trevor Cohn. In Proceedings of ACL-IJCNLP-15 Short Papers, 2015.
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Point process modelling of rumour dynamics in social media
Michal Lukasik, Trevor Cohn and Kalina Bontcheva. In Proceedings of ACL-IJCNLP-15 Short Papers, 2015.
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Twitter User Geolocation Using a Unified Text and Network Prediction Model
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In Proceedings of ACL-IJCNLP-15 Short Papers, 2015.
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Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
Long Duong, Trevor Cohn, Steven Bird and Paul Cook. In Proceedings of ACL-IJCNLP-15 Short Papers, 2015.
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Structured Prediction of Sequences and Trees using Infinite Contexts
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn and Ann Nicholson. In Proceedings of ECML-15, 2015.
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Exploiting Text and Network Context for Geolocation of Social Media Users
Afshin Rahimi, Duy Vu, Trevor Cohn and Timothy Baldwin. In Proceedings of NAACL-15 Short Papers, 2015.
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Predicting Peer-to-Peer Loan Rates using Bayesian Non-Linear Regression
Zsolt Bitvai and Trevor Cohn. In Proceedings of AAAI-15, 2015.
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Day trading profit maximization with multi-task learning and technical analysis
Zsolt Bitvai and Trevor Cohn. In Machine Learning, December 2014.
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A Bayesian non-Linear Method for Feature Selection in Machine Translation Quality Estimation
Kashif Shah, Lucia Specia and Trevor Cohn. In Machine Translation, June, Volume 29, Issue 2 2015.
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What We Can Get From 1k Tokens? Case Study of Multilingual POS Tagging For Resource-poor Languages
Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird and Paul Cook. In Proceedings of EMNLP, 2014.
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Joint Emotion Analysis via Multi-task Gaussian Processes
Daniel Beck, Trevor Cohn and Lucia Specia. In Proceedings of EMNLP (short), 2014.
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Simple extensions for a reparameterised IBM Model 2
Douwe Gelling and Trevor Cohn. In Proceedings of ACL Short papers, 2014.
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Extracting socioeconomic patterns from the news: Modelling text and outlet importance jointly
Vasileios Lampos, Daniel Preoţiuc-Pietro, Sina Samangooei, Douwe Gelling, and Trevor Cohn. In Proceedings of ACL LACSS, 2014.
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Factored Markov translation with robust modeling
Yang Feng, Trevor Cohn, and Xinkai Du. In Proceedings of CoNLL, 2014.
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Data selection for discriminative training in statistical machine translation
Lucia Specia, Xingyi Song, and Trevor Cohn. In Proceedings of EAMT, 2014.
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Predicting and characterising user impact on Twitter
Vasileios Lampos, Nikolaos Aletras, Daniel Preoţiuc-Pietro, and Trevor Cohn. In Proceedings of EACL, 2014.
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BLEU deconstructed: Designing a better MT evaluation metric
Xingyi Song, Trevor Cohn, and Lucia Specia. In Proceedings of CICLING, 2013.
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Topic-oriented words as features for named entity recognition
Ziqi Zhang, Trevor Cohn, and Fabio Ciravegna. In Proceedings of CICLING, 2013.
Winner of best paper award, 2nd place
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Where's @wally: A classification approach to geolocating users based on their social ties
Dominic Rout, Daniel Preotiuc-Pietro, Kalina Bontcheva, and Trevor Cohn. In Proceedings of Hypertext, 2013.
Winner of Ted Nelson Award
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Mining user behaviors: A study of check-in patterns in location based social networks
Daniel Preotiuc-Pietro, and Trevor Cohn. In Proceedings of WebSci, 2013.
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Reducing annotation effort for quality estimation via active learning
Daniel Beck, Lucia Specia, and Trevor Cohn. In Proceedings of ACL short papers, 2013.
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QuEst - a translation quality estimation framework
Lucia Specia, Kashif Shah, Jose Guilherme Camargo de Souza and Trevor Cohn. In Proceedings of ACL demonstrations, 2013.
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Modelling annotator bias with multi-task Gaussian Processes: An application to machine translation quality estimation
Trevor Cohn, and Lucia Specia. In Proceedings of ACL, 2013.
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A user-centric model of voting intention from social media
Vasileios Lampos, Daniel Preotiuc-Pietro, and Trevor Cohn. In Proceedings of ACL, 2013.
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An infinite hierarchical Bayesian model of phrasal translation
Trevor Cohn, and Gholamreza Haffari. In Proceedings of ACL, 2013.
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A Markov model of Machine Translation using non-parametric Bayesian inference
Yang Feng, and Trevor Cohn. In Proceedings of ACL, 2013.
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SHEF-Lite: when less is more for translation quality estimation
Daniel Beck, Kashif Shah, Trevor Cohn, and Lucia Specia. In Proceedings of WMT, 2013.
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An investigation on the effectiveness of features for translation quality estimation
Kashif Shah, Trevor Cohn, and Lucia Specia. In Proceedings of MT Summit, 2013.
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An abstractive approach to sentence compression
Trevor Cohn, and Mirella Lapata. In ACM Transactions on Intelligent Systems and Technology, 4 2013.
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Adaptation of lecture speech recognition system with machine translation output
Raymond Ng, Thomas Hain, and Trevor Cohn.. In Proceedings of ICASSP, 2013.
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A temporal model of text periodicities using Gaussian Processes
Daniel Preotiuc-Pietro, and Trevor Cohn. In Proceedings of EMNLP, 2013.
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Evaluating a morphological analyser of Inuktitut
Jeremy Nicholson, Trevor Cohn, and Tim Baldwin. In Proceedings of NAACL:HLT, 2012.
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Left-to-right tree-to-string decoding with prediction
Yang Feng, Yang Liu, Qun Liu, and Trevor Cohn. In Proceedings of EMNLP-CoNLL, 2012.
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Proceedings of the NAACL-HLT workshop on the induction of linguistic structure
Trevor Cohn, Phil Blunsom and Joao Graca (editors). 2012.
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Using senses in HMM word alignment
Douwe Gelling, and Trevor Cohn. In Proceedings of WILS, 2012.
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The PASCAL challenge on grammar induction
Douwe Gelling, Trevor Cohn, Phil Blunsom, and Joao Graca. In Proceedings of WILS, 2012.
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Trendminer: An architecture for real time analysis of social media text
Daniel Preotiuc-Pietro, Sina Samangooei, Trevor Cohn, Nicholas Gibbins, and Mahesan Niranjan. In Proceedings of RAMSS, 2012.
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A hierarchical Pitman-Yor process HMM for unsupervised part of speech induction
Phil Blunsom, and Trevor Cohn. In Proceedings of ACL-HLT, 2011.
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Regression and ranking based optimisation for sentence level machine translation evaluation
Xingyi Song, and Trevor Cohn. In Proceedings of WMT, 2011.
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Inducing synchronous grammars with slice sampling
Phil Blunsom, and Trevor Cohn. In Proceedings of HLT-NAACL, 2010.
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Blocked inference in Bayesian tree substitution grammars
Trevor Cohn, and Phil Blunsom. In Proceedings of ACL short papers, 2010.
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Inducing tree-substitution grammars
Trevor Cohn, Phil Blunsom, and Sharon Goldwater. In Journal of Machine Learning Research, 11 2010.
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Unsupervised induction of tree substitution grammars for dependency parsing
Phil Blunsom, and Trevor Cohn. In Proceedings of EMNLP, 2010.
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Multi-document summarization using A* search and discriminative training
Ahmet Aker, Trevor Cohn, and Rob Gaizauskas. In Proceedings of EMNLP, 2010.
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A Bayesian model of syntax-directed tree to string grammar induction
Trevor Cohn and Phil Blunsom. In Proceedings of EMNLP, 2009.
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A Gibbs sampler for phrasal synchronous grammar induction
Phil Blunsom, Trevor Cohn, Chris Dyer, and Miles Osborne. In Proceedings of ACL-IJCNLP, 2009.
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A note on the implementation of hierarchical Dirichlet processes
Phil Blunsom, Trevor Cohn, Sharon Goldwater, and Mark Johnson. In Proceedings of ACL-IJCNLP short papers, 2009.
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Inducing compact but accurate tree-substitution grammars
Trevor Cohn, Sharon Goldwater, and Phil Blunsom. In Proceedings of HLT-NAACL, 2009.
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Word lattices for multi-source translation
Josh Schroeder, Trevor Cohn, and Philipp Koehn. In Proceedings of EACL, 2009.
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Bayesian synchronous grammar induction
Phil Blunsom, Trevor Cohn, and Miles Osborne. In NIPS, 2009.
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Constructing corpora for development and evaluation of paraphrase systems
Trevor Cohn, Chris Callison-Burch, and Mirella Lapata. In Computational Linguistics, 34 2008.
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Sentence compression as tree transduction
Trevor Cohn, and Mirella Lapata. In Journal of Artificial Intelligence Research (JAIR), 34 2009.
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Sentence compression beyond word deletion
Trevor Cohn, and Mirella Lapata. In Proceedings of COLING, 2008.
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ParaMetric: An automatic evaluation metric for paraphrasing
Chris Callison-Burch, Trevor Cohn, and Mirella Lapata. In Proceedings of COLING, 2008.
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A discriminative latent variable model for statistical machine translation
Phil Blunsom, Trevor Cohn, and Miles Osborne. In Proceedings of ACL-08: HLT, 2008.
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Scaling conditional random fields for natural language processing
Trevor Cohn. Dissertation, University of Melbourne. 2007.
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Machine translation by triangulation: Making effective use of multi-parallel corpora
Trevor Cohn, and Mirella Lapata. In Proceedings of ACL, 2007.
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Large margin synchronous generation and its application to sentence compression
Trevor Cohn, and Mirella Lapata. In Proceedings of EMNLP-CoNLL, 2007.
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Discriminative word alignment with conditional random fields
Phil Blunsom, and Trevor Cohn. In Proceedings of COLING-ACL, 2006.
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Efficient inference in large conditional random fields
Trevor Cohn. In Proceedings of ECML, pages 606-613 ., 2006.
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Scaling conditional random fields using error-correcting codes
Trevor Cohn, Andrew Smith, and Miles Osborne. In Proceedings of ACL, 2005.
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Semantic role labelling with tree conditional random fields
Trevor Cohn, and Philip Blunsom. In Proceedings of CoNLL, 2005.
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Logarithmic opinion pools for conditional random fields
Andrew Smith, Trevor Cohn, and Miles Osborne. In Proceedings of ACL, 2005.
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Performance metrics for word sense disambiguation
Trevor Cohn. In Proceedings of ALTW, 2003.
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