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2020 – today
- 2023
[i46]Suzanna Sia, Kevin Duh:
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models. CoRR abs/2305.03573 (2023)- 2022
- [c135]Suzanna Sia, Kokil Jaidka, Niyati Chayya, Kevin Duh:
Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract). AAAI 2022: 13049-13050 - [c134]Neha Verma, Kenton Murray, Kevin Duh:
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation. AMTA 2022: 31-44 - [c133]Suzanna Sia, Kevin Duh:
Prefix Embeddings for In-context Machine Translation. AMTA 2022: 45-57 - [c132]Kiron Deb, Xuan Zhang, Kevin Duh:
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines. BlackboxNLP@EMNLP 2022: 51-61 - [c131]Suraj Nair
, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. ECIR (1) 2022: 382-396 - [c130]Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. EMNLP 2022: 2545-2561 - [c129]Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn:
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. EMNLP 2022: 6019-6033 - [c128]Odunayo Ogundepo, Xinyu Zhang, Shuo Sun, Kevin Duh, Jimmy Lin:
AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages. EMNLP 2022: 8721-8728 - [c127]Suzanna Sia, Kokil Jaidka, Hansin Ahuja, Niyati Chhaya, Kevin Duh:
Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. EMNLP 2022: 11939-11950 - [c126]Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe:
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [c125]Paul McNamee, Kevin Duh:
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text. LREC 2022: 910-918 - [e4]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022. Association for Machine Translation in the Americas 2022 [contents] - [i45]Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. CoRR abs/2201.08471 (2022) - [i44]Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn:
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces. CoRR abs/2210.05098 (2022) - [i43]Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. CoRR abs/2210.14378 (2022) - 2021
- [c124]Winston Wu, Kevin Duh, David Yarowsky:
Sequence Models for Computational Etymology of Borrowings. ACL/IJCNLP (Findings) 2021: 4032-4037 - [c123]Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe:
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolóxochitl Mixtec. EACL 2021: 1134-1145 - [c122]Suzanna Sia, Kevin Duh:
Adaptive Mixed Component LDA for Low Resource Topic Modeling. EACL 2021: 2451-2469 - [c121]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. EMNLP (Findings) 2021: 738-749 - [c120]Mitchell A. Gordon, Kevin Duh, Jared Kaplan:
Data and Parameter Scaling Laws for Neural Machine Translation. EMNLP (1) 2021: 5915-5922 - [c119]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
ORTHROS: non-autoregressive end-to-end speech translation With dual-decoder. ICASSP 2021: 7503-7507 - [c118]Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Guo, Jiatong Shi, Kevin Duh, Shinji Watanabe:
ESPnet-ST IWSLT 2021 Offline Speech Translation System. IWSLT 2021: 100-109 - [c117]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT 2021: 206-214 - [c116]Kevin Duh, Francisco Guzmán:
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). MTSummit (1) 2021 - [c115]Xuan Zhang, Kevin Duh:
Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task. AT4SSL@MTSummit 2021: 60-70 - [e3]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, MTSummit 2021 Virtual, August 16-20, 2021. Association for Machine Translation in the Americas 2021 [contents] - [i42]Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe:
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec. CoRR abs/2101.10877 (2021) - [i41]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. CoRR abs/2105.04475 (2021) - [i40]Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Guo, Jiatong Shi, Kevin Duh, Shinji Watanabe:
ESPnet-ST IWSLT 2021 Offline Speech Translation System. CoRR abs/2107.00636 (2021) - [i39]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring. CoRR abs/2109.04411 (2021) - [i38]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. CoRR abs/2109.12640 (2021) - 2020
- [j18]Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Trans. Assoc. Comput. Linguistics 8: 49-63 (2020) - [j17]Xuan Zhang, Kevin Duh:
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems. Trans. Assoc. Comput. Linguistics 8: 393-408 (2020) - [c114]Shuo Sun, Suzanna Sia, Kevin Duh:
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task. ACL (demo) 2020: 134-141 - [c113]Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi, Shinji Watanabe:
ESPnet-ST: All-in-One Speech Translation Toolkit. ACL (demo) 2020: 302-311 - [c112]Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. NGT@ACL 2020: 110-118 - [c111]Jason Naradowsky, Xuan Zhang, Kevin Duh:
Machine Translation System Selection from Bandit Feedback. AMTA 2020: 50-63 - [c110]Shuo Sun, Kevin Duh:
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval. EMNLP (1) 2020: 4160-4170 - [c109]Kevin Duh, Paul McNamee, Matt Post, Brian Thompson:
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages. LREC 2020: 2667-2675 - [c108]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. RepL4NLP@ACL 2020: 143-155 - [c107]Kelly Marchisio, Kevin Duh, Philipp Koehn:
When Does Unsupervised Machine Translation Work? WMT@EMNLP 2020: 571-583 - [p1]Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms. Deep Neural Evolution 2020: 97-129 - [i37]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. CoRR abs/2002.08307 (2020) - [i36]Jason Naradowsky, Xuan Zhang, Kevin Duh:
Machine Translation System Selection from Bandit Feedback. CoRR abs/2002.09646 (2020) - [i35]Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. CoRR abs/2003.02877 (2020) - [i34]Kelly Marchisio, Kevin Duh, Philipp Koehn:
When Does Unsupervised Machine Translation Work? CoRR abs/2004.05516 (2020) - [i33]Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Enrique Yalta Soplin, Tomoki Hayashi, Shinji Watanabe:
ESPnet-ST: All-in-One Speech Translation Toolkit. CoRR abs/2004.10234 (2020) - [i32]Shuo Sun, Kevin Duh:
Modeling Document Interactions for Learning to Rank with Regularized Self-Attention. CoRR abs/2005.03932 (2020) - [i31]Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao:
Very Deep Transformers for Neural Machine Translation. CoRR abs/2008.07772 (2020) - [i30]Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder. CoRR abs/2010.13047 (2020)
2010 – 2019
- 2019
- [j16]Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 77-88 (2019) - [c106]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. ACL (1) 2019: 80-94 - [c105]Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. ASRU 2019: 570-577 - [c104]Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn:
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation. EMNLP/IJCNLP (1) 2019: 1382-1387 - [c103]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) 2019: 3784-3796 - [c102]Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe:
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. IWSLT 2019 - [c101]Mahsa Yarmohammadi, Xutai Ma, Sorami Hisamoto, Muhammad Rahman, Yiming Wang, Hainan Xu, Daniel Povey, Philipp Koehn, Kevin Duh:
Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings. MTSummit (1) 2019: 12-20 - [c100]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation. MTSummit (1) 2019: 204-213 - [c99]Marianna J. Martindale, Marine Carpuat, Kevin Duh, Paul McNamee:
Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. MTSummit (1) 2019: 233-243 - [c98]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Translation into Morphologically Rich Languages. MTSummit (1) 2019: 244-255 - [c97]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. NAACL-HLT (1) 2019: 1903-1915 - [c96]Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn:
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation. NAACL-HLT (1) 2019: 2062-2068 - [c95]Huda Khayrallah, Rebecca Knowles, Kevin Duh, Matt Post:
An Interactive Teaching Tool for Introducing Novices to Machine Translation. SIGCSE 2019: 1276 - [c94]Tom Lippincott, Pamela Shapiro, Kevin Duh, Paul McNamee:
JHU System Description for the MADAR Arabic Dialect Identification Shared Task. WANLP@ACL 2019 2019: 264-268 - [c93]Matt Post, Kevin Duh:
JHU 2019 Robustness Task System Description. WMT (2) 2019: 552-558 - [i29]Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models. CoRR abs/1904.05506 (2019) - [i28]Muhammad Mahbubur Rahman, Sorami Hisamoto, Kevin Duh:
Query Expansion for Cross-Language Question Re-Ranking. CoRR abs/1904.07982 (2019) - [i27]Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR abs/1905.05816 (2019) - [i26]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. CoRR abs/1905.08704 (2019) - [i25]Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations. CoRR abs/1905.10453 (2019) - [i24]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. CoRR abs/1909.02607 (2019) - [i23]Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. CoRR abs/1910.00254 (2019) - [i22]Mitchell A. Gordon, Kevin Duh:
Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation. CoRR abs/1912.03334 (2019) - 2018
- [j15]Shay B. Cohen, Graeme Hirst, Kevin Duh:
Bayesian Analysis in Natural Language Processing Shay Cohen (University of Edinburgh)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 35), 2016, xxvii+246 pp; paperback, ISBN 9781627058735, $85.00; ebook, ISBN 9781627054218, $68.00; doi: 10.2200/S00719ED1V01Y201605HLT035. Comput. Linguistics 44(1) (2018) - [c92]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) 2018: 1694-1704 - [c91]Huda Khayrallah, Brian Thompson, Kevin Duh, Philipp Koehn:
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation. NMT@ACL 2018: 36-44 - [c90]Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c89]Gregory Sell, Kevin Duh, David Snyder, Dave Etter, Daniel Garcia-Romero:
Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program. ICASSP 2018: 3031-3035 - [c88]Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe, Kevin Duh:
The JHU/KyotoU Speech Translation System for IWSLT 2018. IWSLT 2018: 153-159 - [c87]Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui:
Cross-Lingual Learning-to-Rank with Shared Representations. NAACL-HLT (2) 2018: 458-463 - [c86]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [c85]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT 2018: 173-179 - [c84]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. WMT 2018: 124-132 - [c83]Philipp Koehn, Kevin Duh, Brian Thompson:
The JHU Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 438-444 - [i21]Xiaodong Liu, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Natural Language Inference. CoRR abs/1804.07888 (2018) - [i20]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR abs/1804.08000 (2018) - [i19]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Cross-lingual Semantic Parsing. CoRR abs/1804.08037 (2018) - [i18]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - [i17]Shuoyang Ding, Kevin Duh:
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? CoRR abs/1806.01515 (2018) - [i16]Pamela Shapiro, Kevin Duh:
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. CoRR abs/1809.01301 (2018) - [i15]Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Neural Machine Translation. CoRR abs/1809.02223 (2018) - [i14]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. CoRR abs/1809.05218 (2018) - [i13]Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for SQuAD 2.0. CoRR abs/1809.09194 (2018) - [i12]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - [i11]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - 2017
- [j14]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
A Psycholinguistic Model for the Marking of Discourse Relations. Dialogue Discourse 8(1): 106-131 (2017) - [j13]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017) - [c82]Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. AAAI 2017: 3281-3287 - [c81]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) 2017: 64-70 - [c80]Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang:
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 2017: 5-8 - [c79]Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn:
Neural Lattice Search for Domain Adaptation in Machine Translation. IJCNLP(2) 2017: 20-25 - [c78]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. IJCNLP(2) 2017: 91-96 - [c77]Dingquan Wang, Nanyun Peng, Kevin Duh:
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition. IJCNLP(2) 2017: 383-388 - [c76]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) 2017: 832-842 - [c75]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) 2017: 957-966 - [c74]Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme:
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) 2017: 996-1005 - [c73]Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Skip-Prop: Representing Sentences with One Vector Per Proposition. IWCS(2) 2017 - [c72]Hao Qin, Takahiro Shinozaki, Kevin Duh:
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems. IWSLT 2017: 120-128 - [c71]Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh:
The JHU Machine Translation Systems for WMT 2017. WMT 2017: 276-282 - [i10]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) - [i9]Chandler May, Kevin Duh, Benjamin Van Durme, Ashwin Lall:
Streaming Word Embeddings with the Space-Saving Algorithm. CoRR abs/1704.07463 (2017) - [i8]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR abs/1711.03230 (2017) - [i7]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. CoRR abs/1712.03556 (2017) - 2016
- [j12]Hiroki Ouchi, Kevin Duh, Hiroyuki Shindo, Yuji Matsumoto:
Transition-Based Dependency Parsing Exploiting Supertags. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2059-2068 (2016) - [c70]Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Non-Linear Similarity Learning for Compositionality. AAAI 2016: 2828-2834 - [c69]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics. ACL (2) 2016 - [c68]Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
Modelling the Usage of Discourse Connectives as Rational Speech Acts. CoNLL 2016: 302-313 - [c67]Xiaoyi Wu, Kevin Duh, Yuji Matsumoto:
A Generalized Framework for Hierarchical Word Sequence Language Model. PACLIC 2016 - [c66]Tomohiro Tanaka, Takafumi Moriya, Takahiro Shinozaki, Shinji Watanabe, Takaaki Hori, Kevin Duh:
Automated structure discovery and parameter tuning of neural network language model based on evolution strategy. SLT 2016: 665-671 - [c65]Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post:
The JHU Machine Translation Systems for WMT 2016. WMT 2016: 272-280 - [e2]Jian Su, Xavier Carreras, Kevin Duh:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016. The Association for Computational Linguistics 2016, ISBN 978-1-945626-25-8 [contents] - [e1]Deyi Xiong, Kevin Duh, Eneko Agirre, Nora Aranberri, Houfeng Wang:
Proceedings of the 2nd Workshop on Semantics-Driven Machine Translation, SedMT@NAACL-HLT 2016, San Diego, CA, USA, June 16, 2016. Association for Computational Linguistics 2016, ISBN 978-1-941643-97-6 [contents] - [i6]