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Chris Dyer
Christopher Dyer
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2020 – today
- 2023
- [j18]Thea Sommerschield
, Yannis M. Assael, John Pavlopoulos, Vanessa Stefanak, Andrew W. Senior, Chris Dyer, John Bodel, Jonathan Prag
Machine Learning for Ancient Languages: A Survey. Comput. Linguistics 49(3): 703-747 (2023) - 2022
- [j17]Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer:
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. Trans. Assoc. Comput. Linguistics 10: 1423-1439 (2022) - [c161]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ICLR 2022 - [c160]Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews:
Enabling Arbitrary Translation Objectives with Adaptive Tree Search. ICLR 2022 - [e2]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i89]Wang Ling, Wojciech Stokowiec, Domenic Donato, Laurent Sartran, Lei Yu, Austin Matthews, Chris Dyer:
Enabling arbitrary translation objectives with Adaptive Tree Search. CoRR abs/2202.11444 (2022) - [i88]Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer:
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. CoRR abs/2203.00633 (2022) - [i87]Domenic Donato, Lei Yu, Wang Ling, Chris Dyer:
MAD for Robust Reinforcement Learning in Machine Translation. CoRR abs/2207.08583 (2022) - [i86]Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler:
Continuous diffusion for categorical data. CoRR abs/2211.15089 (2022) - 2021
- [c159]Srivatsan Srinivasan, Chris Dyer:
Better Chinese Sentence Segmentation with Reinforcement Learning. ACL/IJCNLP (Findings) 2021: 293-302 - [c158]Domenic Donato, Lei Yu, Chris Dyer:
Diverse Pretrained Context Encodings Improve Document Translation. ACL/IJCNLP (1) 2021: 1299-1311 - [c157]Roma Patel, Marta Garnelo, Ian Gemp, Chris Dyer, Yoram Bachrach:
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT 2021: 2789-2798 - [c156]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS 2021: 25968-25981 - [i85]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. CoRR abs/2106.02736 (2021) - [i84]Domenic Donato, Lei Yu, Chris Dyer:
Diverse Pretrained Context Encodings Improve Document Translation. CoRR abs/2106.03717 (2021) - [i83]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR abs/2106.05346 (2021) - [i82]Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021) - 2020
- [j16]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics 8: 346-360 (2020) - [j15]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8: 776-794 (2020) - [c155]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. ACL 2020: 2569-2588 - [c154]Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL 2020: 2954-2960 - [c153]Jonathan H. Clark, Alon Lavie, Chris Dyer:
One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation. AMTA 2020 - [c152]Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) 2020: 1182-1192 - [c151]Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer:
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 2020: 326-337 - [i81]Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. CoRR abs/2001.11128 (2020) - [i80]Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. CoRR abs/2005.01646 (2020) - [i79]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. CoRR abs/2005.03684 (2020) - [i78]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR abs/2005.13482 (2020)
2010 – 2019
- 2019
- [c150]Yoon Kim, Chris Dyer, Alexander M. Rush
Compound Probabilistic Context-Free Grammars for Grammar Induction. ACL (1) 2019: 2369-2385 - [c149]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) 2019: 3472-3484 - [c148]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) 2019: 6429-6441 - [c147]Austin Matthews, Graham Neubig, Chris Dyer:
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. CoNLL 2019: 227-237 - [c146]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) 2019: 4081-4091 - [c145]John T. Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan
Text Genre and Training Data Size in Human-like Parsing. EMNLP/IJCNLP (1) 2019: 5845-5851 - [c144]Yoon Kim, Alexander M. Rush
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) 2019: 1105-1117 - [c143]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. NAACL-HLT (1) 2019: 1724-1733 - [i77]Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom:
Learning and Evaluating General Linguistic Intelligence. CoRR abs/1901.11373 (2019) - [i76]Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. CoRR abs/1904.03746 (2019) - [i75]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. CoRR abs/1904.06834 (2019) - [i74]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR abs/1906.06438 (2019) - [i73]Yoon Kim, Chris Dyer, Alexander M. Rush:
Compound Probabilistic Context-Free Grammars for Grammar Induction. CoRR abs/1906.10225 (2019) - [i72]Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith:
Shallow Syntax in Deep Water. CoRR abs/1908.11047 (2019) - [i71]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR abs/1909.01492 (2019) - [i70]Chris Dyer, Gábor Melis, Phil Blunsom:
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR abs/1909.09428 (2019) - [i69]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Putting Machine Translation in Context with the Noisy Channel Model. CoRR abs/1910.00553 (2019) - 2018
- [j14]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6: 317-328 (2018) - [c142]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI 2018: 3045-3052 - [c141]Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom:
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) 2018: 1426-1436 - [c140]John T. Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan
Finding syntax in human encephalography with beam search. ACL (1) 2018: 2727-2736 - [c139]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. EMNLP 2018: 3772-3782 - [c138]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) 2018 - [c137]Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom:
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) 2018 - [c136]Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap:
Fast Parametric Learning with Activation Memorization. ICML 2018: 4225-4234 - [c135]Austin Matthews, Graham Neubig, Chris Dyer:
Using Morphological Knowledge in Open-Vocabulary Neural Language Models. NAACL-HLT 2018: 1435-1445 - [c134]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS 2018: 7298-7309 - [c133]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. NeurIPS 2018: 8046-8055 - [i68]Avneesh Saluja, Chris Dyer, Jean-David Ruvini:
Paraphrase-Supervised Models of Compositionality. CoRR abs/1801.10293 (2018) - [i67]Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter W. Battaglia:
Learning Deep Generative Models of Graphs. CoRR abs/1803.03324 (2018) - [i66]Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap:
Fast Parametric Learning with Activation Memorization. CoRR abs/1803.10049 (2018) - [i65]Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom:
Pushing the bounds of dropout. CoRR abs/1805.09208 (2018) - [i64]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR abs/1805.11749 (2018) - [i63]Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu:
Relational inductive biases, deep learning, and graph networks. CoRR abs/1806.01261 (2018) - [i62]John T. Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan R. Brennan:
Finding Syntax in Human Encephalography with Beam Search. CoRR abs/1806.04127 (2018) - [i61]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. CoRR abs/1808.00508 (2018) - [i60]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. CoRR abs/1808.10485 (2018) - [i59]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Unsupervised Word Discovery with Segmental Neural Language Models. CoRR abs/1811.09353 (2018) - [i58]Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling:
Sentence Encoding with Tree-constrained Relation Networks. CoRR abs/1811.10475 (2018) - 2017
- [j13]Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith:
Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics 43(2): 311-347 (2017) - [j12]Hao Tang
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [c132]Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom:
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) 2017: 158-167 - [c131]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Differentiable Scheduled Sampling for Credit Assignment. ACL (2) 2017: 366-371 - [c130]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. ACL (1) 2017: 1492-1502 - [c129]Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) 2017: 2089-2098 - [c128]Chris Dyer:
Should Neural Network Architecture Reflect Linguistic Structure? CoNLL 2017: 1 - [c127]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) 2017: 383-387 - [c126]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) 2017: 1249-1258 - [c125]Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. EMNLP 2017: 1850-1859 - [c124]Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling:
Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) 2017 - [c123]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. ICLR (Poster) 2017 - [c122]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH 2017: 954-958 - [c121]Graham Neubig, Yoav Goldberg, Chris Dyer:
On-the-fly Operation Batching in Dynamic Computation Graphs. NIPS 2017: 3971-3981 - [e1]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - [i57]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) - [i56]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR abs/1702.06378 (2017) - [i55]Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom:
Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR abs/1703.01898 (2017) - [i54]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. CoRR abs/1704.06970 (2017) - [i53]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. CoRR abs/1704.06986 (2017) - [i52]Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy:
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. CoRR abs/1705.02925 (2017) - [i51]Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom:
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR abs/1705.04146 (2017) - [i50]Graham Neubig, Yoav Goldberg, Chris Dyer:
On-the-fly Operation Batching in Dynamic Computation Graphs. CoRR abs/1705.07860 (2017) - [i49]Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith:
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold. CoRR abs/1706.09528 (2017) - [i48]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. CoRR abs/1707.05589 (2017) - [i47]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR abs/1708.00111 (2017) - [i46]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - [i45]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. CoRR abs/1712.07040 (2017) - [i44]Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze:
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). Dagstuhl Reports 7(1): 129-157 (2017) - 2016
- [j11]Wang Ling, Luís Marujo, Chris Dyer, Alan W. Black, Isabel Trancoso
Mining Parallel Corpora from Sina Weibo and Twitter. Comput. Linguistics 42(2): 307-343 (2016) - [j10]Yulia Tsvetkov, Chris Dyer:
Cross-Lingual Bridges with Models of Lexical Borrowing. J. Artif. Intell. Res. 55: 63-93 (2016) - [j9]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Many Languages, One Parser. Trans. Assoc. Comput. Linguistics 4: 431-444 (2016) - [c120]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Evolving Relationships Between Characters in Literary Novels. AAAI 2016: 2704-2710 - [c119]Austin Matthews, Eva Schlinger, Alon Lavie, Chris Dyer:
Synthesizing Compound Words for Machine Translation. ACL (1) 2016 - [c118]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer:
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. ACL (1) 2016 - [c117]Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. ACL (1) 2016 - [c116]Qinlan Shen, Daniel Clothiaux, Emily Tagtow, Patrick Littell, Chris Dyer:
The Role of Context in Neural Morphological Disambiguation. COLING 2016: 181-191 - [c115]Patrick Littell, Kartik Goyal, David R. Mortensen, Alexa Little, Chris Dyer, Lori S. Levin:
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik. COLING 2016: 998-1006 - [c114]David R. Mortensen, Patrick Littell, Akash Bharadwaj, Kartik Goyal, Chris Dyer, Lori S. Levin:
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors. COLING 2016: 3475-3484 - [c113]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL 2016: 187-197 - [c112]Kartik Goyal, Chris Dyer:
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints. SPNLP@EMNLP 2016: 35-43 - [c111]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP 2016: 1078-1087 - [c110]Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. EMNLP 2016: 1163-1172 - [c109]Akash Bharadwaj, David R. Mortensen
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. EMNLP 2016: 1462-1472 - [c108]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP 2016: 1744-1753 - [c107]Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for Colorful Words. EMNLP 2016: 1949-1954 - [c106]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP 2016: 2005-2010 - [c105]Jacob Buckman, Miguel Ballesteros, Chris Dyer:
Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP 2016: 2313-2318 - [c104]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2016: 385-389 - [c103]Patrick Littell, David R. Mortensen, Kartik Goyal, Chris Dyer, Lori S. Levin:
Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik. LREC 2016 - [c102]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. HLT-NAACL 2016: 199-209 - [c101]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. HLT-NAACL 2016: 260-270 - [c100]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. HLT-NAACL 2016: 634-643 - [c99]Jeffrey Flanigan
Generation from Abstract Meaning Representation using Tree Transducers. HLT-NAACL 2016: 731-739 - [c98]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 - [c97]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. HLT-NAACL 2016: 1357-1366 - [c96]Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy:
Hierarchical Attention Networks for Document Classification. HLT-NAACL 2016: 1480-1489 - [c95]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. RepEval@ACL 2016: 30-35 - [c94]Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. RepEval@ACL 2016: 111-115 - [c93]Jeffrey Flanigan
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. SemEval@NAACL-HLT 2016: 1202-1206 - [c92]Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh, Chris Dyer:
Attention-based Multimodal Neural Machine Translation. WMT 2016: 639-645 - [c91]Lingpeng Kong, Chris Dyer, Noah A. Smith:
Segmental Recurrent Neural Networks. ICLR (Poster) 2016 - [i43]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) - [i42]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
One Parser, Many Languages. CoRR abs/1602.01595 (2016) - [i41]Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith:
Massively Multilingual Word Embeddings. CoRR abs/1602.01925 (2016) - [i40]Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill:
Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. CoRR abs/1602.04393 (2016) - [i39]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. CoRR abs/1602.07776 (2016) - [i38]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR abs/1603.00223 (2016) - [i37]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. CoRR abs/1603.01360 (2016) - [i36]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack-LSTM Parser. CoRR abs/1603.03793 (2016) - [i35]Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. CoRR abs/1604.00425 (2016) - [i34]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. CoRR abs/1605.02276 (2016) - [i33]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. CoRR abs/1605.03832 (2016) - [i32]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Chris Dyer:
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. CoRR abs/1605.03852 (2016) - [i31]Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. CoRR abs/1606.00499 (2016) - [i30]Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. CoRR abs/1606.06710 (2016) - [i29]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR abs/1606.08954 (2016) - [i28]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. CoRR abs/1607.05108 (2016) - [i27]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR abs/1609.07561 (2016) - [i26]Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for ColorfulWords. CoRR abs/1609.08777 (2016) - [i25]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR abs/1609.09315 (2016) - [i24]Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. CoRR abs/1611.01628 (2016) - [i23]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. CoRR abs/1611.02554 (2016) - [i22]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR abs/1611.05774 (2016) - [i21]Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling:
Learning to Compose Words into Sentences with Reinforcement Learning. CoRR abs/1611.09100 (2016) - 2015
- [j8]Chris Dyer:
Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax Emily M. Bender (University of Washington) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 20), 2013, xvii+166 pp; paperbound, ISBN 978-1-62705-011-1, $40.00; e-book, ISBN 978-1-62705-012-8, $30.00 or by subscription. Comput. Linguistics 41(1): 153-155 (2015) - [c90]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning. AAAI 2015: 2246-2252 - [c89]Yulia Tsvetkov, Chris Dyer:
Lexicon Stratification for Translating Out-of-Vocabulary Words. ACL (2) 2015: 125-131 - [c88]Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer:
Frame-Semantic Role Labeling with Heterogeneous Annotations. ACL (2) 2015: 218-224 - [c87]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. ACL (1) 2015: 334-343 - [c86]Manaal Faruqui, Chris Dyer:
Non-distributional Word Vector Representations. ACL (2) 2015: 464-469 - [c85]Luís Marujo, Wang Ling, Isabel Trancoso, Chris Dyer, Alan W. Black, Anatole Gershman, David Martins de Matos, João Paulo da Silva Neto, Jaime G. Carbonell:
Automatic Keyword Extraction on Twitter. ACL (2) 2015: 637-643 - [c84]Rajarshi Das, Manzil Zaheer, Chris Dyer:
Gaussian LDA for Topic Models with Word Embeddings. ACL (1) 2015: 795-804 - [c83]Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer:
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment. ACL (1) 2015: 836-845 - [c82]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. ACL (1) 2015: 1491-1500 - [c81]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning. CoNLL 2015: 22-31 - [c80]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. EMNLP 2015: 349-359 - [c79]Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin:
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. EMNLP 2015: 1367-1372 - [c78]Wang Ling, Chris Dyer, Alan W. Black, Isabel Trancoso, Ramon Fermandez, Silvio Amir, Luís Marujo, Tiago Luís:
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. EMNLP 2015: 1520-1530 - [c77]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer:
Evaluation of Word Vector Representations by Subspace Alignment. EMNLP 2015: 2049-2054 - [c76]Diyi Yang, Alon Lavie, Chris Dyer, Eduard H. Hovy:
Humor Recognition and Humor Anchor Extraction. EMNLP 2015: 2367-2376 - [c75]Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith:
Learning Word Representations with Hierarchical Sparse Coding. ICML 2015: 87-96 - [c74]Yulia Tsvetkov, Waleed Ammar, Chris Dyer:
Constraint-Based Models of Lexical Borrowing. HLT-NAACL 2015: 598-608 - [c73]Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy:
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models. HLT-NAACL 2015: 683-693 - [c72]Wang Ling, Chris Dyer, Alan W. Black, Isabel Trancoso:
Two/Too Simple Adaptations of Word2Vec for Syntax Problems. HLT-NAACL 2015: 1299-1304 - [c71]Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori S. Levin
Unsupervised POS Induction with Word Embeddings. HLT-NAACL 2015: 1311-1316 - [c70]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. HLT-NAACL 2015: 1606-1615 - [c69]Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer, Eitan Grossman:
A bottom up approach to category mapping and meaning change. NetWordS 2015: 66-70 - [i20]Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori S. Levin:
Unsupervised POS Induction with Word Embeddings. CoRR abs/1503.06760 (2015) - [i19]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. CoRR abs/1505.08075 (2015) - [i18]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. CoRR abs/1506.02004 (2015) - [i17]Manaal Faruqui, Chris Dyer:
Non-distributional Word Vector Representations. CoRR abs/1506.05230 (2015) - [i16]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs. CoRR abs/1508.00657 (2015) - [i15]Wang Ling, Tiago Luís, Luís Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W. Black, Isabel Trancoso:
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. CoRR abs/1508.02096 (2015) - [i14]Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh, Chris Dyer:
Depth-Gated LSTM. CoRR abs/1508.03790 (2015) - [i13]Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein:
Document Context Language Models. CoRR abs/1511.03962 (2015) - [i12]Wang Ling, Isabel Trancoso, Chris Dyer, Alan W. Black:
Character-based Neural Machine Translation. CoRR abs/1511.04586 (2015) - [i11]Kazuya Kawakami, Chris Dyer:
Learning to Represent Words in Context with Multilingual Supervision. CoRR abs/1511.04623 (2015) - [i10]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Dynamic Relationships Between Characters in Literary Novels. CoRR abs/1511.09376 (2015) - [i9]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. CoRR abs/1512.06110 (2015) - 2014
- [j7]Austin Matthews, Paul Baltescu, Phil Blunsom, Alon Lavie, Chris Dyer:
Tree Transduction Tools for cdec. Prague Bull. Math. Linguistics 102: 27-36 (2014) - [j6]Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith:
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut. Trans. Assoc. Comput. Linguistics 2: 193-206 (2014) - [j5]Jonathan H. Clark, Chris Dyer, Alon Lavie:
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization. Trans. Assoc. Comput. Linguistics 2: 393-404 (2014) - [c68]Manaal Faruqui, Chris Dyer:
Community Evaluation and Exchange of Word Vectors at wordvectors.org. ACL (System Demonstrations) 2014: 19-24 - [c67]Michael T. Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith:
Simplified Dependency Annotations with GFL-Web. ACL (System Demonstrations) 2014: 121-126 - [c66]Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, Chris Dyer:
Metaphor Detection with Cross-Lingual Model Transfer. ACL (1) 2014: 248-258 - [c65]David Bamman, Chris Dyer, Noah A. Smith:
Distributed Representations of Geographically Situated Language. ACL (2) 2014: 828-834 - [c64]Jeffrey Flanigan
A Discriminative Graph-Based Parser for the Abstract Meaning Representation. ACL (1) 2014: 1426-1436 - [c63]Chu-Cheng Lin, Waleed Ammar, Lori S. Levin, Chris Dyer:
The CMU Submission for the Shared Task on Language Identification in Code-Switched Data. CodeSwitch@EMNLP 2014: 80-86 - [c62]Michael J. Denkowski, Alon Lavie, Isabel Lacruz, Chris Dyer:
Real time adaptive machine translation: cdec and TransCenter. WPTP@ATMA 2014 - [c61]Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer:
Automatic Classification of Communicative Functions of Definiteness. COLING 2014: 1059-1070 - [c60]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
Weakly-Supervised Bayesian Learning of a CCG Supertagger. CoNLL 2014: 141-150 - [c59]Michael J. Denkowski, Alon Lavie, Isabel Lacruz, Chris Dyer:
Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter. HaCaT@EACL 2014: 72-77 - [c58]Michael J. Denkowski, Chris Dyer, Alon Lavie:
Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation. EACL 2014: 395-404 - [c57]Manaal Faruqui, Chris Dyer:
Improving Vector Space Word Representations Using Multilingual Correlation. EACL 2014: 462-471 - [c56]Yulia Tsvetkov, Florian Metze, Chris Dyer:
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation. EACL 2014: 616-625 - [c55]Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith:
A Dependency Parser for Tweets. EMNLP 2014: 1001-1012 - [c54]Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing:
Language Modeling with Power Low Rank Ensembles. EMNLP 2014: 1487-1498 - [c53]Avneesh Saluja, Chris Dyer, Shay B. Cohen:
Latent-Variable Synchronous CFGs for Hierarchical Translation. EMNLP 2014: 1953-1964 - [c52]Archna Bhatia, Mandy Simons, Lori S. Levin, Yulia Tsvetkov, Chris Dyer, Jordan Bender:
A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness. LREC 2014: 910-916 - [c51]Shikun Zhang, Wang Ling, Chris Dyer:
Dual Subtitles as Parallel Corpora. LREC 2014: 1869-1874 - [c50]Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, Chris Dyer:
Augmenting English Adjective Senses with Supersenses. LREC 2014: 4359-4365 - [c49]Waleed Ammar, Chris Dyer, Noah A. Smith:
Conditional Random Field Autoencoders for Unsupervised Structured Prediction. NIPS 2014: 3311-3319 - [c48]Sam Thomson, Brendan O'Connor, Jeffrey Flanigan
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING 2014: 176-180 - [c47]Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, Chris Dyer:
The CMU Machine Translation Systems at WMT 2014. WMT@ACL 2014: 142-149 - [c46]Wang Ling, Luís Marujo, Chris Dyer, Alan W. Black, Isabel Trancoso:
Crowdsourcing High-Quality Parallel Data Extraction from Twitter. WMT@ACL 2014: 426-436 - [i8]Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith:
Learning Word Representations with Hierarchical Sparse Coding. CoRR abs/1406.2035 (2014) - [i7]Chris Dyer:
Notes on Noise Contrastive Estimation and Negative Sampling. CoRR abs/1410.8251 (2014) - [i6]Waleed Ammar, Chris Dyer, Noah A. Smith:
Conditional Random Field Autoencoders for Unsupervised Structured Prediction. CoRR abs/1411.1147 (2014) - [i5]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. CoRR abs/1411.4166 (2014) - 2013
- [j4]Eva Schlinger, Victor Chahuneau, Chris Dyer:
morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases. Prague Bull. Math. Linguistics 100: 51-62 (2013) - [c45]Wang Ling, Guang Xiang, Chris Dyer, Alan W. Black, Isabel Trancoso:
Microblogs as Parallel Corpora. ACL (1) 2013: 176-186 - [c44]Manaal Faruqui, Chris Dyer:
An Information Theoretic Approach to Bilingual Word Clustering. ACL (2) 2013: 777-783 - [c43]Nathan Schneider, Brendan O'Connor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A. Smith, Chris Dyer, Jason Baldridge:
A Framework for (Under)specifying Dependency Syntax without Overloading Annotators. LAW@ACL 2013: 51-60 - [c42]Yulia Tsvetkov, Naama Twitto, Nathan Schneider, Noam Ordan, Manaal Faruqui, Victor Chahuneau, Shuly Wintner, Chris Dyer:
Identifying the L1 of non-native writers: the CMU-Haifa system. BEA@NAACL-HLT 2013: 279-287 - [c41]Wang Ling, Chris Dyer, Alan W. Black, Isabel Trancoso:
Paraphrasing 4 Microblog Normalization. EMNLP 2013: 73-84 - [c40]Kevin Gimpel, Dhruv Batra, Chris Dyer, Gregory Shakhnarovich:
A Systematic Exploration of Diversity in Machine Translation. EMNLP 2013: 1100-1111 - [c39]Victor Chahuneau, Eva Schlinger, Noah A. Smith, Chris Dyer:
Translating into Morphologically Rich Languages with Synthetic Phrases. EMNLP 2013: 1677-1687 - [c38]Tim Hunter, Chris Dyer:
Distributions on Minimalist Grammar Derivations. MOL 2013: 1-11 - [c37]Jeffrey Flanigan
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. HLT-NAACL 2013: 248-258 - [c36]Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith:
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. HLT-NAACL 2013: 380-390 - [c35]Chris Dyer, Victor Chahuneau, Noah A. Smith:
A Simple, Fast, and Effective Reparameterization of IBM Model 2. HLT-NAACL 2013: 644-648 - [c34]Nathan Schneider, Behrang Mohit, Chris Dyer, Kemal Oflazer, Noah A. Smith:
Supersense Tagging for Arabic: the MT-in-the-Middle Attack. HLT-NAACL 2013: 661-667 - [c33]Victor Chahuneau, Noah A. Smith, Chris Dyer:
Knowledge-Rich Morphological Priors for Bayesian Language Models. HLT-NAACL 2013: 1206-1215 - [c32]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. MLSA@PKDD/ECML 2013: 28-38 - [c31]Waleed Ammar, Victor Chahuneau, Michael J. Denkowski, Greg Hanneman, Wang Ling, Austin Matthews, Kenton Murray, Nicola Segall, Alon Lavie, Chris Dyer:
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References. WMT@ACL 2013: 70-77 - [c30]Yulia Tsvetkov, Chris Dyer, Lori S. Levin, Archna Bhatia:
Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options. WMT@ACL 2013: 271-280 - [i4]Nathan Schneider, Brendan O'Connor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A. Smith, Chris Dyer, Jason Baldridge:
A framework for (under)specifying dependency syntax without overloading annotators. CoRR abs/1306.2091 (2013) - [i3]Chris Dyer:
Minimum Error Rate Training and the Convex Hull Semiring. CoRR abs/1307.3675 (2013) - [i2]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. CoRR abs/1310.6998 (2013) - [i1]Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing:
Language Modeling with Power Low Rank Ensembles. CoRR abs/1312.7077 (2013) - 2012
- [j3]Victor Chahuneau, Noah A. Smith, Chris Dyer:
pycdec: A Python Interface to cdec. Prague Bull. Math. Linguistics 98: 51-62 (2012) - [c29]Patrick Simianer, Stefan Riezler, Chris Dyer:
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT. ACL (1) 2012: 11-21 - [c28]Waleed Ammar, Chris Dyer, Noah A. Smith:
Transliteration by Sequence Labeling with Lattice Encodings and Reranking. NEWS@ACL 2012: 66-70 - [c27]Jan A. Botha, Chris Dyer, Phil Blunsom:
Bayesian Language Modelling of German Compounds. COLING 2012: 341-356 - [c26]Abby D. Levenberg, Chris Dyer, Phil Blunsom:
A Bayesian Model for Learning SCFGs with Discontiguous Rules. EMNLP-CoNLL 2012: 223-232 - [c25]Karl Moritz Hermann, Chris Dyer, Phil Blunsom, Stephen Pulman:
Learning Semantics and Selectional Preference of Adjective-Noun Pairs. *SEM@NAACL-HLT 2012: 70-74 - 2011
- [c24]Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A. Smith:
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability. ACL (2) 2011: 176-181 - [c23]Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A. Smith:
Unsupervised Word Alignment with Arbitrary Features. ACL 2011: 409-419 - [c22]Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith:
Unsupervised Bilingual POS Tagging with Markov Random Fields. ULNLP@EMNLP 2011: 64-71 - [c21]Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Predicting a Scientific Community's Response to an Article. EMNLP 2011: 594-604 - [c20]Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith:
The CMU-ARK German-English Translation System. WMT@EMNLP 2011: 337-343 - 2010
- [b1]Jimmy Lin, Chris Dyer:
Data-Intensive Text Processing with MapReduce. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2010, ISBN 978-3-031-01008-8 - [j2]Abhishek Arun, Barry Haddow, Philipp Koehn, Adam Lopez, Chris Dyer, Phil Blunsom:
Monte Carlo techniques for phrase-based translation. Mach. Transl. 24(2): 103-121 (2010) - [c19]Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonathan Weese, Ferhan Türe, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman, Philip Resnik:
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models. ACL (System Demonstrations) 2010: 7-12 - [c18]Hendra Setiawan, Christopher Dyer, Philip Resnik:
Discriminative Word Alignment with a Function Word Reordering Model. EMNLP 2010: 534-544 - [c17]Jimmy Lin, Chris Dyer:
Data-Intensive Text Processing with MapReduce. NAACL (Tutorial Abstracts) 2010: 1-2 - [c16]Chris Dyer:
Two monolingual parses are better than one (synchronous parse). HLT-NAACL 2010: 263-266 - [c15]Christopher Dyer, Philip Resnik:
Context-free reordering, finite-state translation. HLT-NAACL 2010: 858-866 - [c14]Vladimir Eidelman, Chris Dyer, Philip Resnik:
The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation. WMT@ACL 2010: 72-76 - [c13]Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Ann Irvine, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Ziyuan Wang, Jonathan Weese, Omar Zaidan:
Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies. WMT@ACL 2010: 133-137
2000 – 2009
- 2009
- [c12]Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan:
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation. ACL/IJCNLP (Software Demonstrations) 2009: 25-28 - [c11]Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Josef Och:
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices. ACL/IJCNLP 2009: 163-171 - [c10]Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osborne:
A Gibbs Sampler for Phrasal Synchronous Grammar Induction. ACL/IJCNLP 2009: 782-790 - [c9]Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez, Philipp Koehn:
Monte Carlo inference and maximization for phrase-based translation. CoNLL 2009: 102-110 - [c8]Jimmy Lin, Chris Dyer:
Data Intensive Text Processing with MapReduce. HLT-NAACL (Tutorial Abstracts) 2009: 1-2 - [c7]Chris Dyer:
Using a maximum entropy model to build segmentation lattices for MT. HLT-NAACL 2009: 406-414 - [c6]Zhifei Li, Chris Callison-Burch, Chris Dyer, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, Omar Zaidan:
Joshua: An Open Source Toolkit for Parsing-Based Machine Translation. WMT@EACL 2009: 135-139 - [c5]Chris Dyer, Hendra Setiawan, Yuval Marton, Philip Resnik:
The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation. WMT@EACL 2009: 145-149 - 2008
- [c4]Christopher Dyer, Smaranda Muresan, Philip Resnik:
Generalizing Word Lattice Translation. ACL 2008: 1012-1020 - [c3]Chris Dyer, Aaron Cordova, Alex Mont, Jimmy Lin:
Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce. WMT@ACL 2008: 199-207 - 2007
- [c2]Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst:
Moses: Open Source Toolkit for Statistical Machine Translation. ACL 2007 - [c1]Christopher Dyer:
The University of maryland translation system for IWSLT 2007. IWSLT 2007: 180-185
1990 – 1999
- 1999
- [j1]Chris Dyer:
virtual_Stages: an Interactive Model of Performance Spaces for Creative Teams, Technicians and Students. Digit. Creativity 10(3): 143-152 (1999)
Coauthor Index
[j17] [i88] [j16] [j15] [c155] [c152] [c151] [i81] [i79] [i78] [c149] [c148] [i77] [i74] [i70] [i69] [j14] [c141] [c138] [c137] [c133] [i65] [i61] [i59] [i58] [c132] [c130] [c125] [c124] [c123] [e1] [i55] [i53] [i51] [i48] [i45] [i44] [c111] [i25] [i24] [i23] [i21] [j7] [c27] [c26] [c25] [j2] [c19] [c10] [c9]
[i72] [c139] [i60] [j13] [j12] [c126] [c122] [i56] [i49] [i46] [j9] [c113] [c108] [c107] [c106] [c104] [c102] [c99] [c93] [c91] [i42] [i41] [i39] [i38] [i36] [i29] [i27] [i26] [i22] [c90] [c88] [c87] [c82] [c81] [c80] [c75] [c70] [i19] [i18] [i16] [j6] [c67] [c65] [c64] [c60] [c55] [c49] [c48] [i8] [i6] [i5] [c43] [c39] [c36] [c35] [c34] [c33] [c32] [i4] [i2] [j3] [c28] [c24] [c23] [c22] [c21] [c20]
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