default search action
Kevin Duh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c147]Xuan Zhang, Kevin Duh:
Best Practices of Successive Halving on Neural Machine Translation and Large Language Models. AMTA (1) 2024: 130-139 - [c146]Bismarck Bamfo Odoom, Nathaniel R. Robinson, Elijah Rippeth, Luis Tavarez-Arce, Kenton Murray, Matthew Wiesner, Paul McNamee, Philipp Koehn, Kevin Duh:
Can Synthetic Speech Improve End-to-End Conversational Speech Translation? AMTA (1) 2024: 167-177 - [c145]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models. LREC/COLING 2024: 6909-6921 - [c144]Peter Viechnicki, Kevin Duh, Anthony Kostacos, Barbara Landau:
Large-Scale Bitext Corpora Provide New Evidence for Cognitive Representations of Spatial Terms. EACL (1) 2024: 1089-1099 - [c143]Suzanna Sia, Alexandra DeLucia, Kevin Duh:
Anti-LM Decoding for Zero-shot In-context Machine Translation. NAACL-HLT (Findings) 2024: 3403-3420 - [e7]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-115-5 [contents] - [e6]Kevin Duh, Helena Gómez-Adorno, Steven Bethard:
Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-119-3 [contents] - [i56]Suzanna Sia, David Mueller, Kevin Duh:
Where does In-context Translation Happen in Large Language Models. CoRR abs/2403.04510 (2024) - [i55]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields. CoRR abs/2404.09383 (2024) - [i54]Eugene Yang, Suraj Nair, Dawn J. Lawrie, James Mayfield, Douglas W. Oard, Kevin Duh:
Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval. CoRR abs/2404.18797 (2024) - [i53]Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization. CoRR abs/2409.03655 (2024) - [i52]Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
HLTCOE JHU Submission to the Voice Privacy Challenge 2024. CoRR abs/2409.08913 (2024) - 2023
- [c142]Xuan Zhang, Kevin Duh, Paul McNamee:
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research. ACL (demo) 2023: 161-168 - [c141]Paul McNamee, Kevin Duh:
An Extensive Exploration of Back-Translation in 60 Languages. ACL (Findings) 2023: 8166-8183 - [c140]Xuan Zhang, Kevin Duh:
Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods. EMNLP (Findings) 2023: 2993-3002 - [c139]Cihan Xiao, Henry Li Xinyuan, Jinyi Yang, Dongji Gao, Matthew Wiesner, Kevin Duh, Sanjeev Khudanpur:
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation. INTERSPEECH 2023: 4074-4078 - [c138]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [c137]Jeremy Gwinnup, Tim Anderson, Brian M. Ore, Eric G. Hansen, Kevin Duh:
Enhancing Video Translation Context with Object Labels. IWSLT@ACL 2023: 130-137 - [c136]Xuan Zhang, Navid Rajabi, Kevin Duh, Philipp Koehn:
Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA. WMT 2023: 468-481 - [i51]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) - [i50]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models. CoRR abs/2305.14230 (2023) - [i49]Jeremy Gwinnup, Kevin Duh:
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation. CoRR abs/2306.07198 (2023) - [i48]Cihan Xiao, Henry Li Xinyuan, Jinyi Yang, Dongji Gao, Matthew Wiesner, Kevin Duh, Sanjeev Khudanpur:
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation. CoRR abs/2306.11252 (2023) - [i47]Suzanna Sia, Alexandra DeLucia, Kevin Duh:
Anti-LM Decoding for Zero-shot In-context Machine Translation. CoRR abs/2311.08324 (2023) - [i46]Elijah Rippeth, Marine Carpuat, Kevin Duh, Matt Post:
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context. CoRR abs/2311.15507 (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 - [e5]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 - [e4]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
- [j19]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) - [j18]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
- [j17]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
- [j16]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 Transl