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ORCIDTrevor Cohn
Trevor Anthony Cohn
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2020
[c137]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. ACL 2020: 4984-4997- [c136]Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne
, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor:
Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. CLEF 2020: 237-254 - [c135]Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang, Mai Hoang Dao, Pedro Ruas, Andre Lamurias, Francisco M. Couto, Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro, Daniel M. Lowe, John Mayfield, Abdullatif Köksal, Hilal Dönmez, Elif Özkirimli, Arzucan Özgür, Darshini Mahendran, Gabrielle Gurdin, Nastassja Lewinski, Christina Tang, Bridget T. McInnes, C. S. Malarkodi, Pattabhi Rk Rao, Sobha Lalitha Devi, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor:
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents. CLEF (Working Notes) 2020 - [c134]Dat Quoc Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin, Karin Verspoor:
ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. ECIR (2) 2020: 572-579 - [c133]Najam Zaidi, Trevor Cohn, Gholamreza Haffari:
Decoding As Dynamic Programming For Recurrent Autoregressive Models. ICLR 2020 - [e3]Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-60-6 [contents] - [e2]Trevor Cohn, Yulan He, Yang Liu:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-90-3 [contents] - [i51]Philip Arthur, Trevor Cohn, Gholamreza Haffari:
Learning Coupled Policies for Simultaneous Machine Translation. CoRR abs/2002.04306 (2020) - [i50]Nitika Mathur, Tim Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. CoRR abs/2006.06264 (2020) - [i49]Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. CoRR abs/2011.00675 (2020)
2010 – 2019
- 2019
- [j11]Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter:
Gaussian Processes for Rumour Stance Classification in Social Media. ACM Trans. Inf. Syst. 37(2): 20:1-20:24 (2019) - [c132]Afshin Rahimi, Yuan Li, Trevor Cohn:
Massively Multilingual Transfer for NER. ACL (1) 2019: 151-164 - [c131]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. ACL (1) 2019: 1923-1934 - [c130]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. ACL (1) 2019: 2799-2808 - [c129]Zhuohan Xie, Jey Han Lau, Trevor Cohn:
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. ALTA 2019: 10-18 - [c128]Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor:
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. BioNLP@ACL 2019: 328-338 - [c127]Dalin Wang, Daniel Beck, Trevor Cohn:
On the Role of Scene Graphs in Image Captioning. LANTERN@EMNLP-IJCNLP 2019: 29-34 - [c126]Xudong Han, Philip Schulz, Trevor Cohn:
Grounding learning of modifier dynamics: An application to color naming. EMNLP/IJCNLP (1) 2019: 1488-1493 - [c125]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. EMNLP/IJCNLP (1) 2019: 1729-1740 - [c124]Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP 2019: 461-465 - [c123]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. ICML 2019: 3886-3895 - [c122]Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner:
Contextualization of Morphological Inflection. NAACL-HLT (1) 2019: 2018-2024 - [c121]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. *SEM@NAACL-HLT 2019: 273-282 - [c120]Daniel Beck, Trevor Cohn, Gholamreza Haffari:
Neural Speech Translation using Lattice Transformations and Graph Networks. TextGraphs@EMNLP 2019: 26-31 - [c119]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. WWW 2019: 1028-1038 - [i48]Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. CoRR abs/1902.00193 (2019) - [i47]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. CoRR abs/1902.08918 (2019) - [i46]Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. CoRR abs/1903.00142 (2019) - [i45]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. CoRR abs/1905.01420 (2019) - [i44]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. CoRR abs/1905.07856 (2019) - [i43]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. CoRR abs/1906.02897 (2019) - [i42]Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor:
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. CoRR abs/1907.02679 (2019) - [i41]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. CoRR abs/1909.00187 (2019) - [i40]Xudong Han, Philip Schulz, Trevor Cohn:
Grounding learning of modifier dynamics: An application to color naming. CoRR abs/1909.07586 (2019) - 2018
- [j10]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
Exploiting graph kernels for high performance biomedical relation extraction. J. Biomed. Semant. 9(1): 7:1-7:11 (2018) - [j9]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-aware rumour stance classification in social media using sequential classifiers. Inf. Process. Manag. 54(2): 273-290 (2018) - [c118]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. ACL (2) 2018: 25-30 - [c117]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. ACL (2) 2018: 182-188 - [c116]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. ACL (1) 2018: 273-283 - [c115]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. ACL (2) 2018: 278-284 - [c114]Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. ACL (1) 2018: 1243-1252 - [c113]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A joint neural model of poetic language, meter and rhyme. ACL (1) 2018: 1948-1958 - [c112]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. ACL (1) 2018: 2009-2019 - [c111]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Improved Neural Machine Translation using Side Information. ALTA 2018: 6-16 - [c110]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Towards Efficient Machine Translation Evaluation by Modelling Annotators. ALTA 2018: 77-82 - [c109]Cong Duy Vu Hoang, Philipp Koehn, Gholamreza Haffari, Trevor Cohn:
Iterative Back-Translation for Neural Machine Translation. NMT@ACL 2018: 18-24 - [c108]Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter Geolocation using Knowledge-Based Methods. NUT@EMNLP 2018: 7-16 - [c107]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labeling. EMNLP 2018: 2850-2856 - [c106]Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud:
Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. LREC 2018 - [c105]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. NAACL-HLT (2) 2018: 278-283 - [c104]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. NAACL-HLT (2) 2018: 474-479 - [c103]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. NAACL-HLT 2018: 1964-1974 - [i39]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. CoRR abs/1804.08049 (2018) - [i38]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. CoRR abs/1804.11019 (2018) - [i37]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis. CoRR abs/1805.02823 (2018) - [i36]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. CoRR abs/1805.06088 (2018) - [i35]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. CoRR abs/1805.06093 (2018) - [i34]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. CoRR abs/1805.06122 (2018) - [i33]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. CoRR abs/1805.06566 (2018) - [i32]Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. CoRR abs/1805.10844 (2018) - [i31]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. CoRR abs/1806.09835 (2018) - [i30]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. CoRR abs/1807.03491 (2018) - [i29]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labelling. CoRR abs/1808.09075 (2018) - 2017
- [c102]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. ACL (2) 2017: 209-216 - [c101]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. ACL (1) 2017: 355-365 - [c100]Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. ACL (2) 2017: 587-593 - [c99]Fei Liu, Trevor Cohn, Timothy Baldwin:
Improving End-to-End Memory Networks with Unified Weight Tying. ALTA 2017: 16-24 - [c98]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke:
Joint Sentence-Document Model for Manifesto Text Analysis. ALTA 2017: 25-33 - [c97]Oliver Adams, Trevor Cohn, Graham Neubig, Alexis Michaud:
Phonemic Transcription of Low-Resource Tonal Languages. ALTA 2017: 53-60 - [c96]Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. MultiLing@EACL 2017: 7-11 - [c95]P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn:
Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. ASONAM 2017: 195-202 - [c94]Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn:
Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. BigData 2017: 1183-1192 - [c93]Yitong Li, Trevor Cohn, Timothy Baldwin:
Robust Training under Linguistic Adversity. EACL (2) 2017: 21-27 - [c92]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. EACL (2) 2017: 118-124 - [c91]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Multilingual Training of Crosslingual Word Embeddings. EACL (1) 2017: 894-904 - [c90]Oliver Adams, Adam J. Makarucha, Graham Neubig, Steven Bird, Trevor Cohn:
Cross-Lingual Word Embeddings for Low-Resource Language Modeling. EACL (1) 2017: 937-947 - [c89]Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari:
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. SWCN@EMNLP 2017: 103-108 - [c88]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Towards Decoding as Continuous Optimisation in Neural Machine Translation. EMNLP 2017: 146-156 - [c87]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. EMNLP 2017: 167-176 - [c86]Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. EMNLP 2017: 595-605 - [c85]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. EMNLP 2017: 2860-2865 - [c84]Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn:
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. IJCAI 2017: 1994-2000 - [c83]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn:
Compressed Nonparametric Language Modelling. IJCAI 2017: 2701-2707 - [c82]Daniel Beck, Trevor Cohn:
Learning Kernels over Strings using Gaussian Processes. IJCNLP(2) 2017: 67-73 - [c81]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. IJCNLP(1) 2017: 555-565 - [c80]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. IJCNLP(1) 2017: 744-753 - [c79]Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn:
Pairwise Webpage Coreference Classification Using Distant Supervision. WWW (Companion Volume) 2017: 841-842 - [i28]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Decoding as Continuous Optimization in Neural Machine Translation. CoRR abs/1701.02854 (2017) - [i27]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:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i26]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. CoRR abs/1702.06675 (2017) - [i25]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. CoRR abs/1704.04008 (2017) - [i24]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. CoRR abs/1704.08012 (2017) - [i23]Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. CoRR abs/1705.00424 (2017) - [i22]Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. CoRR abs/1708.02383 (2017) - [i21]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. CoRR abs/1708.04358 (2017) - [i20]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. CoRR abs/1709.03637 (2017) - [i19]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. CoRR abs/1710.04802 (2017) - [i18]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers. CoRR abs/1712.02223 (2017) - 2016
- [j8]Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn:
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. Trans. Assoc. Comput. Linguistics 4: 477-490 (2016) - [c78]Michal Lukasik, Trevor Cohn:
Convolution Kernels for Discriminative Learning from Streaming Text. AAAI 2016: 2757-2763 - [c77]Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn:
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL (2) 2016 - [c76]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
pigeo: A Python Geotagging Tool. ACL (System Demonstrations) 2016: 127-132 - [c75]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. ACL (1) 2016 - [c74]Cong Duy Vu Hoang, Reza Haffari, Trevor Cohn:
Improving Neural Translation Models with Linguistic Factors. ALTA 2016: 7-14 - [c73]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Rao Kotagiri:
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction. ALTA 2016: 65-73 - [c72]Nagesh Panyam Chandrasekarasastry, Gitansh Khirbat, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
SeeDev Binary Event Extraction using SVMs and a Rich Feature Set. BioNLP (Shared Task) 2016: 82-87 - [c71]Matthias Petri, Trevor Cohn:
Succinct Data Structures for NLP-at-Scale. COLING (Tutorials) 2016: 20-21 - [c70]Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoNLL 2016: 178-186 - [c69]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoNLL 2016: 208-218 - [c68]Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari:
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. EMNLP 2016: 944-949 - [c67]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. EMNLP 2016: 1285-1295 - [c66]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. EMNLP 2016: 1979-1985 - [c65]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura:
Learning a Lexicon and Translation Model from Phoneme Lattices. EMNLP 2016: 2377-2382 - [c64]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird:
Learning a Translation Model from Word Lattices. INTERSPEECH 2016: 2518-2522 - [c63]Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn:
Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. LREC 2016 - [c62]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. HLT-NAACL 2016: 876-885 - [c61]Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn:
An Attentional Model for Speech Translation Without Transcription. HLT-NAACL 2016: 949-959 - [c60]Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari:
Incorporating Side Information into Recurrent Neural Network Language Models. HLT-NAACL 2016: 1250-1255 - [c59]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
Exploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction. SMBM 2016: 42-47 - [e1]Trevor Cohn:
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5 - 7, 2016. ACL 2016 [contents] - [i17]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. CoRR abs/1601.01085 (2016) - [i16]Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari:
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. CoRR abs/1606.04217 (2016) - [i15]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. CoRR abs/1606.09403 (2016) - [i14]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoRR abs/1606.09600 (2016) - [i13]Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoRR abs/1607.01133 (2016) - [i12]Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn: