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2020 – today
- 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) - [c153]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 - [c152]Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL 2020: 2954-2960 - [c151]Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) 2020: 1182-1192 - [c150]Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, 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 - [i82]Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert E. Frederking:
Transition-Based Dependency Parsing using Perceptron Learner. CoRR abs/2001.08279 (2020) - [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 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
- [c149]Yoon Kim, Chris Dyer, Alexander M. Rush:
Compound Probabilistic Context-Free Grammars for Grammar Induction. ACL (1) 2019: 2369-2385 - [c148]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) 2019: 3472-3484 - [c147]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) 2019: 6429-6441 - [c146]Austin Matthews, Graham Neubig, Chris Dyer:
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. CoNLL 2019: 227-237 - [c145]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 - [c144]John 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 - [c143]Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) 2019: 1105-1117 - [c142]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 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) - [c141]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 - [c140]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 - [c139]John Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan:
Finding syntax in human encephalography with beam search. ACL (1) 2018: 2727-2736 - [c138]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. EMNLP 2018: 3772-3782 - [c137]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) 2018 - [c136]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 - [c135]Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap:
Fast Parametric Learning with Activation Memorization. ICML 2018: 4225-4234 - [c134]Austin Matthews, Graham Neubig, Chris Dyer:
Using Morphological Knowledge in Open-Vocabulary Neural Language Models. NAACL-HLT 2018: 1435-1445 - [c133]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 - [c132]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 Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu:
Relational inductive biases, deep learning, and graph networks. CoRR abs/1806.01261 (2018) - [i62]John 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
, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [c131]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 - [c130]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. ACL (2) 2017: 366-371 - [c129]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. ACL (1) 2017: 1492-1502 - [c128]Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy:
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) 2017: 2089-2098 - [c127]Chris Dyer:
Should Neural Network Architecture Reflect Linguistic Structure? CoNLL 2017: 1 - [c126]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) 2017: 383-387 - [c125]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 - [c124]Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. EMNLP 2017: 1850-1859 - [c123]Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling:
Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) 2017 - [c122]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. ICLR (Poster) 2017 - [c121]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH 2017: 954-958 - [c120]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) - [c119]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Evolving Relationships Between Characters in Literary Novels. AAAI 2016: 2704-2710 - [c118]Austin Matthews, Eva Schlinger, Alon Lavie, Chris Dyer:
Synthesizing Compound Words for Machine Translation. ACL (1) 2016 - [c117]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 - [c116]Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. ACL (1) 2016 - [c115]Qinlan Shen, Daniel Clothiaux, Emily Tagtow, Patrick Littell, Chris Dyer:
The Role of Context in Neural Morphological Disambiguation. COLING 2016: 181-191 - [c114]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 - [c113]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 - [c112]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL 2016: 187-197 - [c111]Kartik Goyal, Chris Dyer:
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints. SPNLP@EMNLP 2016: 35-43 - [c110]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 - [c109]Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. EMNLP 2016: 1163-1172 - [c108]Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell:
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. EMNLP 2016: 1462-1472 - [c107]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 - [c106]Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for Colorful Words. EMNLP 2016: 1949-1954 - [c105]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP 2016: 2005-2010 - [c104]Jacob Buckman, Miguel Ballesteros, Chris Dyer:
Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP 2016: 2313-2318 - [c103]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 - [c102]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 - [c101]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. HLT-NAACL 2016: 199-209 - [c100]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. HLT-NAACL 2016: 260-270 - [c99]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. HLT-NAACL 2016: 634-643 - [c98]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
Generation from Abstract Meaning Representation using Tree Transducers. HLT-NAACL 2016: 731-739 - [c97]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 - [c96]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. HLT-NAACL 2016: 1357-1366 - [c95]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 - [c94]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. RepEval@ACL 2016: 30-35 - [c93]Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. RepEval@ACL 2016: 111-115 - [c92]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. SemEval@NAACL-HLT 2016: 1202-1206 - [c91]Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh, Chris Dyer:
Attention-based Multimodal Neural Machine Translation. WMT 2016: 639-645 - [c90]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]