Kevin Duh

Kevin Duh, Tatsuya Kawahara, Shinji Watanabe, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The University of Washington Machine Translation System for ACL WMT 2008

Kevin Duh, Mei Yang, Amittai Axelrod, 2008, WMT@ACL.

Cross-Lingual Learning-to-Rank with Shared Representations

Kevin Duh, Kentaro Inui, Shuo Sun, 2018, NAACL.

Transition-Based Dependency Parsing Exploiting Supertags

Hiroyuki Shindo, Yuji Matsumoto, Kevin Duh, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Neural Lattice Search for Domain Adaptation in Machine Translation

Huda Khayrallah, Kevin Duh, Philipp Koehn, 2017, IJCNLP.

Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2010, WMT@ACL.

Identifying collocations using cross-lingual association measures

Yuji Matsumoto, Kevin Duh, Lis Pereira, 2014, MWE@EACL.

Creating Stories: Social Curation of Twitter Messages

Kevin Duh, Tomoharu Iwata, Ching-man Au Yeung, 2012, ICWSM.

Distributed Learning-to-Rank on Streaming Data using Alternating Direction Method of Multipliers

Kevin Duh, Masaaki Nagata, Jun Suzuki, 2011 .

What Information is Helpful for Dependency Based Semantic Role Labeling

Yuji Matsumoto, Kevin Duh, Yanyan Luo, 2013, IJCNLP.

Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization

Kevin Duh, Masaaki Nagata, Jun Suzuki, 2011, IJCNLP.

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks pdf

Xiaodong Liu, Kevin Duh, Yelong Shen, 2017, IJCNLP.

Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation pdf

Kevin Duh, Mitchell A. Gordon, Kevin Duh, 2019, ArXiv.

How Much Is Said in a Tweet? A Multilingual, Information-theoretic Perspective

Kevin Duh, Graham Neubig, Graham Neubig, 2013, AAAI Spring Symposium: Analyzing Microtext.

A Psycholinguistic Model for the Marking of Discourse Relations

Yuji Matsumoto, Taku Komura, Kevin Duh, 2017, Dialogue Discourse.

Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars

Kevin Duh, Graham Neubig, Philip Arthur, 2015, NAACL.

Multilingual End-to-End Speech Translation

Kevin Duh, Tatsuya Kawahara, Shinji Watanabe, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

The NAIST machine translation system for IWSLT2012

Tomoki Toda, Satoshi Nakamura, Kevin Duh, 2012, IWSLT.

A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition

Kevin Duh, Nanyun Peng, Dingquan Wang, 2017, IJCNLP.

Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields

Ryan Cotterell, Kevin Duh, Kevin Duh, 2017, IJCNLP.

Multi-Metric Optimization Using Ensemble Tuning

Kevin Duh, Anoop Sarkar, Baskaran Sankaran, 2013, NAACL.

Bidirectional Semi-supervised Learning with Graphs

Kevin Duh, Tomoharu Iwata, Kevin Duh, 2012, ECML/PKDD.

POS Tagging of Dialectal Arabic: A Minimally Supervised Approach

Kevin Duh, Katrin Kirchhoff, Kevin Duh, 2005, SEMITIC@ACL.

BLR-D: applying bilinear logistic regression to factored diagnosis problems

John Dunagan, Kevin Duh, Sumit Basu, 2011 .

BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis pdf

Kevin Duh, Pamela Shapiro, Kevin Duh, 2018, ArXiv.

MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation

Hiroyuki Shindo, Kevin Duh, Akinori Fujino, 2010, SemEval@ACL.

Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?

Kevin Duh, Matt Post, Sorami Hisamoto, 2019, TACL.

Towards a Consistent Segmentation Level across Multiple Chinese Word Segmentation Corpora

Yuji Matsumoto, Kevin Duh, Fei Cheng, 2017 .

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/S0

Graeme Hirst, Kevin Duh, Shay B. Cohen, 2018 .

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models

Sheng Zhang, Kevin Duh, Benjamin Van Durme, 2017, EACL.

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Kevin Duh, Nicholas Andrews, Mitchell A. Gordon, 2020, RepL4NLP@ACL.

Automation of system building for state-of-the-art large vocabulary speech recognition using evolution strategy

Kevin Duh, Shinji Watanabe, Tomohiro Tanaka, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Dependency Parsing with LSTMs: An Empirical Evaluation pdf

Yuji Matsumoto, Kevin Duh, Adhiguna Kuncoro, 2016, ArXiv.

An Empirical Investigation of Word Representations for Parsing the Web

Yuji Matsumoto, Kevin Duh, Sorami Hisamoto, 2013 .

Skip-Prop: Representing Sentences with One Vector Per Proposition

Kevin Duh, Rachel Rudinger, Benjamin Van Durme, 2017, IWCS.

Depth-Gated Recurrent Neural Networks

Kaisheng Yao, Kevin Duh, Chris Dyer, 2015 .

Cross-lingual Decompositional Semantic Parsing

Sheng Zhang, Kevin Duh, Rachel Rudinger, 2018, EMNLP.

Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds pdf

Sheng Zhang, Kevin Duh, Benjamin Van Durme, 2018, *SEMEVAL.

Morphology-based language modeling for arabic speech recognition

Andreas Stolcke, Kevin Duh, Dimitra Vergyri, 2004, INTERSPEECH.

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

Xiaodong Liu, Kevin Duh, Jianfeng Gao, 2015, NAACL.

Proceedings of the 2nd Workshop on Semantics-Driven Machine Translation (SedMT 2016)

Eneko Agirre, Kevin Duh, Houfeng Wang, 2016 .

Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition

Kevin Duh, Shinji Watanabe, Tomohiro Tanaka, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms

Kevin Duh, Shinji Watanabe, Takahiro Shinozaki, 2020, Deep Neural Evolution.

Bayesian Analysis in Natural Language Processing

Graeme Hirst, Kevin Duh, Shay B. Cohen, 2016, Computational Linguistics.

Flexible sample selection strategies for transfer learning in ranking

Kevin Duh, Akinori Fujino, Kevin Duh, 2012, Inf. Process. Manag..

Stochastic Answer Networks for SQuAD 2.0 pdf

Wei Li, Xiaodong Liu, Kevin Duh, 2018, ArXiv.

JHU System Description for the MADAR Arabic Dialect Identification Shared Task

Kevin Duh, Paul McNamee, Tom Lippincott, 2019, WANLP@ACL 2019.

Conversational Topic Classication using SVMs and Features Induced by Clustering

Kevin Duh, 2004 .

A framework for analyzing semantic change of words across time

Kevin Duh, Adam Jatowt, Kevin Duh, 2014, IEEE/ACM Joint Conference on Digital Libraries.

Lexicon Acquisition for Dialectal Arabic Using Transductive Learning

Kevin Duh, Katrin Kirchhoff, 2006, EMNLP.

Analysis of translation model adaptation in statistical machine translation

Kevin Duh, Katsuhito Sudoh, Hajime Tsukada, 2010, IWSLT.

An Empirical Exploration of Curriculum Learning for Neural Machine Translation pdf

Huda Khayrallah, Kevin Duh, Xuan Zhang, 2018, ArXiv.

On the Elements of an Accurate Tree-to-String Machine Translation System

Kevin Duh, Graham Neubig, 2014, ACL.

An Improved Hierarchical Word Sequence Language Model Using Word Association

Hiroyuki Shindo, Yuji Matsumoto, Kevin Duh, 2015, SLSP.

Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation pdf

Kevin Duh, Mitchell A. Gordon, 2020, NGT@ACL.

N-Best Reranking by Multitask Learning

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2010, WMT@ACL.

A Generalized Framework for Hierarchical Word Sequence Language Model

Yuji Matsumoto, Kevin Duh, Xiaoyi Wu, 2016, PACLIC.

Character-Aware Decoder for Neural Machine Translation pdf

Kevin Duh, Philipp Koehn, Adithya Renduchintala, 2018, ArXiv.

Learning to Translate with Multiple Objectives

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2012, ACL.

Stochastic Answer Networks for Machine Reading Comprehension pdf

Xiaodong Liu, Kevin Duh, Yelong Shen, 2017, ACL.

Curriculum Learning for Domain Adaptation in Neural Machine Translation pdf

Kevin Duh, Marine Carpuat, Xuan Zhang, 2019, NAACL.

Providing Cross-Lingual Editing Assistance to Wikipedia Editors

Kevin Duh, Masaaki Nagata, Ching-man Au Yeung, 2011, CICLing.

Crosslingual Annotation and Analysis of Implicit Discourse Connectives for Machine Translation

Yuji Matsumoto, Kevin Duh, Frances Yung, 2015, DiscoMT@EMNLP.

A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation pdf

Kevin Duh, Adithya Renduchintala, Shuoyang Ding, 2019, MTSummit.

Depth-Gated LSTM pdf

Ekaterina Vylomova, Kaisheng Yao, Kevin Duh, 2015, ArXiv.

Is Machine Translation Ripe for Cross-Lingual Sentiment Classification?

Kevin Duh, Masaaki Nagata, Akinori Fujino, 2011, ACL.

NTT-NAIST Syntax-based SMT Systems for IWSLT 2014

Kevin Duh, Graham Neubig, Katsuhito Sudoh, 2014 .

NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT

Kevin Duh, Jun'ichi Tsujii, Katsuhito Sudoh, 2011, NTCIR.

Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation

Kevin Duh, Graham Neubig, Katsuhito Sudoh, 2013, ACL.

Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation

Huda Khayrallah, Kevin Duh, Philipp Koehn, 2018, NMT@ACL.

Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks

Yuji Matsumoto, Kevin Duh, Masashi Shimbo, 2013, EMNLP.

Jointly Labeling Multiple Sequences: A Factorial HMM Approach

Kevin Duh, Kevin Duh, 2005, ACL.

Machine Translation System Selection from Bandit Feedback

Kevin Duh, Xuan Zhang, Jason Naradowsky, 2020, AMTA.

Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation

Kevin Duh, Pamela Shapiro, Kevin Duh, 2019, Proceedings of the Sixth Workshop on.

The University of Washington machine translation system for IWSLT 2009

Kevin Duh, Amittai Axelrod, Katrin Kirchhoff, 2006, IWSLT.

Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems

Kevin Duh, Xuan Zhang, Kevin Duh, 2020, Transactions of the Association for Computational Linguistics.

A Comparative Study of Target Dependency Structures for Statistical Machine Translation

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2012, ACL.

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing

Kevin Duh, Qin Iris Wang, Dekang Lin, 2009, HLT-NAACL 2009.

Automatic Evaluation of Translation Quality for Distant Language Pairs

Kevin Duh, Katsuhito Sudoh, Hajime Tsukada, 2010, EMNLP.

Factored Language Models Tutorial

Kevin Duh, Jeff A. Bilmes, Katrin Kirchhoff, 2007 .

Evaluating Translation Quality with Word Order Correlations

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2014 .

The 54th Annual Meeting of the Association for Computational Linguistics

Yuji Matsumoto, Taku Komura, Kevin Duh, 2016 .

AMR Parsing as Sequence-to-Graph Transduction

Kevin Duh, Benjamin Van Durme, Sheng Zhang, 2019, ACL.

Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation

Kevin Duh, Marine Carpuat, Paul McNamee, 2019, MTSummit.

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Kevin Duh, Jian Su, Xavier Carreras, 2016, EMNLP 2016.

Head Finalization: A Simple Reordering Rule for SOV Languages

Kevin Duh, Katsuhito Sudoh, Hajime Tsukada, 2010, WMT@ACL.

Ordinal Common-sense Inference

Sheng Zhang, Kevin Duh, Rachel Rudinger, 2016, TACL.

JHU 2019 Robustness Task System Description

Kevin Duh, Matt Post, Matt Post, 2019, WMT.

Stochastic Answer Networks for Natural Language Inference pdf

Xiaodong Liu, Kevin Duh, Jianfeng Gao, 2018, ArXiv.

Query Expansion for Cross-Language Question Re-Ranking pdf

Muhammad Mahbubur Rahman, Kevin Duh, Sorami Hisamoto, 2019, ArXiv.

Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6)

Samir Khuller, Kevin Duh, Hal Daumé, 2013, NII Shonan Meet. Rep..

Multilingual Topic Models for Bilingual Dictionary Extraction

Xiaodong Liu, Yuji Matsumoto, Kevin Duh, 2015, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Broad-Coverage Semantic Parsing as Transduction pdf

Kevin Duh, Benjamin Van Durme, Xutai Ma, 2019, EMNLP/IJCNLP.

Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings

Kevin Duh, Philipp Koehn, Yiming Wang, 2019, MTSummit.

HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation

Huda Khayrallah, Kevin Duh, Philipp Koehn, 2019, EMNLP.

Modelling the Usage of Discourse Connectives as Rational Speech Acts

Yuji Matsumoto, Taku Komura, Kevin Duh, 2016, CoNLL.

Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking

Kevin Duh, Katrin Kirchhoff, 2008, ACL.

Lexicon Acquisition for Resource-Poor Languages Using Transductive Learning

Kevin Duh, Katrin Kirchhoff, 2006 .

Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework

Kevin Duh, Benjamin Van Durme, Aaron Steven White, 2017, IJCNLP.

Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics

Yuji Matsumoto, Taku Komura, Kevin Duh, 2016, ACL.

How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? pdf

Kevin Duh, Shuoyang Ding, Kevin Duh, 2018, ArXiv.

Semi-supervised ranking for document retrieval

Kevin Duh, Katrin Kirchhoff, Kevin Duh, 2011, Comput. Speech Lang..

Character-Aware Decoder for Translation into Morphologically Rich Languages

Kevin Duh, Philipp Koehn, Adithya Renduchintala, 2018, MTSummit.

Creating Stories from Socially Curated Microblog Messages

Kevin Duh, Tomoharu Iwata, Tsutomu Hirao, 2014, IEICE Trans. Inf. Syst..

NAIST in the SIGHAN 2013 Chinese Spelling Check Shared Task: A Hybrid System Using Language Model and Statistical Machine Translation with Reranking Confidence Score

Xiaodong Liu, Yuji Matsumoto, Kevin Duh, 2013 .

Selective Decoding for Cross-lingual Open Information Extraction

Sheng Zhang, Kevin Duh, Benjamin Van Durme, 2017, IJCNLP.

Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT

Yuji Matsumoto, Kevin Duh, Katsuhito Sudoh, 2011, NTCIR.

Sequence Models for Computational Etymology of Borrowings

David Yarowsky, Kevin Duh, Winston Wu, 2021, FINDINGS.

Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring pdf

Kevin Duh, Tatsuya Kawahara, Shinji Watanabe, 2021, ArXiv.

Self-Guided Curriculum Learning for Neural Machine Translation pdf

Kevin Duh, Ryohei Sasano, Koichi Takeda, 2021, IWSLT.

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces pdf

Kevin Duh, Philipp Koehn, Youngser Park, 2021, EMNLP.

ESPnet-ST IWSLT 2021 Offline Speech Translation System

Kevin Duh, Shinji Watanabe, Siddharth Dalmia, 2021, IWSLT.

Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task

Kevin Duh, Xuan Zhang, Kevin Duh, 2021, MTSUMMIT.

Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track)

Kevin Duh, Francisco Guzmán, 2021, MTSummit.

Data and Parameter Scaling Laws for Neural Machine Translation

Kevin Duh, Mitchell A. Gordon, Jared Kaplan, 2021, EMNLP.

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Kevin Duh, Douglas W. Oard, James Mayfield, 2022, ECIR.

Adaptive Mixed Component LDA for Low Resource Topic Modeling

Kevin Duh, Suzanna Sia, Kevin Duh, 2021, EACL.

Learning Character Representations for Chinese Word Segmentation

Yuji Matsumoto, Kevin Duh, Xiaodong Liu, 2014 .

Alignment Inference and Bayesian Adaptation for Machine Translation

Kevin Duh, Tomoharu Iwata, Katsuhito Sudoh, 2011, MTSUMMIT.

Evolutionary optimization of long short-term memory neural network language model

Kevin Duh, Shinji Watanabe, Takaaki Hori, 2016 .

An Improvement to the Predicate-Argument Structure Based Pre-ordering Approach for Statistical Machine Translation

Kevin Duh, Katsuhito Sudoh, Masaaki Nagata, 2012 .

The NAIST-NTT TED talk treebank

Kevin Duh, Graham Neubig, Katsuhito Sudoh, 2014, IWSLT.