Publications

2018

Cotterell, Ryan; Kirov, Christo; Hulden, Mans; Eisner, Jason

Quantifying the Trade-off Between Two Types of Morphological Complexity Inproceedings

Proceedings of the Society for Computation in Linguistics (SCiL), Salt Lake City, 2018.

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Moro-Velazquez, Laureano; Gomez-Garcia, Jorge Andres; Godino-Llorente, Juan Ignacio; Villalba, Jesus; Orozco-Arroyave, Juan Rafael; Dehak, Najim

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease Journal Article

Applied Soft Computing, 62 , pp. 649–666, 2018.

BibTeX

'i, Moro-Velázquez Laureano Gómez-Garc J-A; Godino-Llorente, Juan Ignacio; Rusz, Jan; Skodda, Sabine; Arroyave, Orozco J R; Noth, Elmar; Dehak, Najim

Study of the automatic detection of Parkison's Disease based on speaker recognition technologies and allophonic distillation Inproceedings

Engineering in Medicine and Biology Society (EMBC),2018 40th Annual International Conference of the IEEE., pp. 1404–1407, 2018.

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Rouhizadeh, Masoud; Hatef, Elham; Dredze, Mark; Chute, Christopher; Kharrazi, Hadi

Identifying Social Determinants of Health from Clinical Notes: A Rule-Based Approach Inproceedings

AMIA Natural Language Processing Working Group Pre-Symposium, 2018.

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Broniatowski, David A; Jamison, Amelia M; Qi, SiHua; AlKulaib, Lulwah; Chen, Tao; Benton, Adrian; Quinn, Sandra C; Dredze, Mark

Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate Journal Article

American Journal of Public Health (AJPH), 2018.

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Benton, Adrian; Dredze, Mark

Using Author Embeddings to Improve Tweet Stance Classification Inproceedings

EMNLP Workshop on Noisy User-generated Text (W-NUT), 2018.

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Wood-Doughty, Zachary; Andrews, Nicholas; Dredze, Mark

Convolutions Are All You Need (For Classifying Character Sequences) Inproceedings

EMNLP Workshop on Noisy User-generated Text (W-NUT), 2018.

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Sekara, Vedran; Rutherford, Alex; Mann, Gideon; Dredze, Mark; Adler, Natalia; 'i, Manuel Garc

Trends in the Adoption of Corporate Child Labor Policies: An Analysis with Bloomberg Terminal ESG Data Inproceedings

Bloomberg Data for Good Exchange, 2018.

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Wood-Doughty, Zachary; Shpitser, Ilya; Dredze, Mark

Challenges of Using Text Classifiers for Causal Inference Inproceedings

Empirical Methods in Natural Language Processing (EMNLP), 2018.

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Ayers, John W; Caputi, Theodore L; Nebeker, Camille; Dredze, Mark

Don't quote me: reverse identification of research participants in social media studies Journal Article

Nature Digital Medicine, 1 (30), 2018.

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Lama, Yuki; Chen, Tao; Dredze, Mark; Jamison, Amelia M; Quinn, Sandra C; Broniatowski, David A

Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis Journal Article

Journal of Medical Internet Research (JMIR), 2018.

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Smith, Katherine; Weiger, Caitlin; Fields, Errol; Cohen, Joanna E; Moran, Meghan; Dredze, Mark

Conducting public health surveillance research on consumer product websites Inproceedings

American Public Health Association (APHA), 2018.

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Zhou, Yuchen; Dredze, Mark; Broniatowski, David A; Adler, William

Gab: The Alt-Right Social Media Platform Inproceedings

International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), 2018.

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Wolfe, Travis; Carrell, Annabelle; Dredze, Mark; Durme, Benjamin Van

Summarizing Entities using Distantly Supervised Information Extractors Inproceedings

SIGIR Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR), 2018.

BibTeX

Hammond, Alexis S; Paul, Michael J; Hobelmann, Gregory J; Koratana, Animesh R; Dredze, Mark; Chisolm, Margaret S

Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses Journal Article

Journal of Medical Internet Research Mental Health (JMIR MH), 2018.

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Wood-Doughty, Zach; Shpitser, Ilya; Dredze, Mark

Challenges of Using Text Classifiers for Causal Inference Inproceedings

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 4586–4598, 2018.

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Wood-Doughty, Zachary; Mahajan, Praateek; Dredze, Mark

Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter Inproceedings

NAACL Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media, 2018.

BibTeX

Wood-Doughty, Zachary; Andrews, Nicholas; Marvin, Rebecca; Dredze, Mark

Predicting Twitter User Demographics from Names Alone Inproceedings

NAACL Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media, 2018.

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Caputi, Theodore L; Leas, Eric C; Dredze, Mark; Ayers, John W

Online Sales of Marijuana: An Unrecognized Public Health Dilemma Journal Article

American Journal of Preventive Medicine (AJPM), 2018.

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Benton, Adrian; Dredze, Mark

Deep Dirichlet Multinomial Regression Inproceedings

North American Chapter of the Association for Computational Linguistics (NAACL), 2018.

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Hadian, Hossein; Sameti, Hossein; Povey, Daniel; Khudanpur, Sanjeev

End-to-end Speech Recognition Using Lattice-free MMI

2018.

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Chen, Tao; Dredze, Mark

Vaccine Images on Twitter: What is Shared and Why Journal Article

Journal of Medical Internet Research (JMIR), 2018.

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Povey, Daniel; Hadian, Hossein; Ghahremani, Pegah; Li, Ke; Khudanpur, Sanjeev

A Time-Restricted Self-Attention Layer for ASR Journal Article

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5874-5878, 2018.

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Snyder, David; Garcia-Romero, Daniel; Sell, Gregory; Povey, Daniel; Khudanpur, Sanjeev

X-vectors: Robust DNN embeddings for speaker recognition Journal Article

Submitted to ICASSP, 2018.

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Manohar, Vimal; Hadian, Hossein; Povey, Daniel; Khudanpur, Sanjeev

Semi-supervised training of acoustic models using lattice-free MMI Inproceedings

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4844–4848, IEEE 2018.

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Watanabe, Shinji; Virtanen, Tuomas; Kolossa, Dorothea

Application of Source Separation to Robust Speech Analysis and Recognition Book Chapter

Audio Source Separation and Speech Enhancement, Chapter 17, pp. 377-411, Wiley-Blackwell, 2018, ISBN: 9781119279860.

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Snyder, David; Garcia-Romero, Daniel; McCree, Alan; Sell, Gregory; Povey, Daniel; Khudanpur, Sanjeev

Spoken language recognition using x-vectors Inproceedings

Odyssey: The Speaker and Language Recognition Workshop, Les Sables d’Olonne, 2018.

BibTeX

Chen, Zhehuai; Luitjens, Justin; Xu, Hainan; Wang, Yiming; Povey, Daniel; Khudanpur, Sanjeev

A GPU-based WFST Decoder with Exact Lattice Generation Journal Article

arXiv preprint arXiv:1804.03243, 2018.

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Povey, Daniel; Cheng, Gaofeng; Wang, Yiming; Li, Ke; Xu, Hainan; Yarmohamadi, Mahsa; Khudanpur, Sanjeev

Semi-orthogonal low-rank matrix factorization for deep neural networks Journal Article

INTERSPEECH (2018, submitted), 2018.

BibTeX

Seki, Hiroshi; Hori, Takaaki; Watanabe, Shinji; Roux, Jonathan Le; Hershey, John R

Inproceedings

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2620–2630, Melbourne, Australia, 2018.

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Zhu, Yingke; Ko, Tom; Snyder, David; Mak, Brian; Povey, Daniel

Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification Journal Article

Proc. Interspeech 2018, pp. 3573–3577, 2018.

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Li, Ke; Xu, Hainan; Wang, Yiming; Povey, Daniel; Khudanpur, Sanjeev

Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition Journal Article

Proc. Interspeech 2018, pp. 3373–3377, 2018.

BibTeX

Ghahremani, Pegah; Hadian, Hossein; Lv, Hang; Povey, Daniel; Khudanpur, Sanjeev

Acoustic Modeling from Frequency Domain Representations of Speech Journal Article

Proc. Interspeech 2018, pp. 1596–1600, 2018.

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Ghahremani, Pegah; Nidadavolu, Phani Sankar; Chen, Nanxin; 'u, Jes; Povey, Daniel; Khudanpur, Sanjeev; Dehak, Najim

End-to-End Deep Neural Network Age Estimation Journal Article

Proc. Interspeech 2018, pp. 277–281, 2018.

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Sell, Gregory; Snyder, David; McCree, Alan; Garcia-Romero, Daniel; 'u, Jes; Maciejewski, Matthew; Manohar, Vimal; Dehak, Najim; Povey, Daniel; Watanabe, Shinji; others,

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Journal Article

Proc. Interspeech 2018, pp. 2808–2812, 2018.

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Sarma, Mousmita; Ghahremani, Pegah; Povey, Daniel; Goel, Nagendra Kumar; Sarma, Kandarpa Kumar; Dehak, Najim

Emotion Identification from raw speech signals using DNNs Journal Article

Proc. Interspeech 2018, pp. 3097–3101, 2018.

BibTeX

2017

Zhang, Sheng; Duh, Kevin; Durme, Benjamin Van

Selective Decoding for Cross-lingual Open Information Extraction Inproceedings

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 832–842, Asian Federation of Natural Language Processing, 2017.

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Shen, Yelong; Liu, Xiaodong; Duh, Kevin; Gao, Jianfeng

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

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 957–966, Asian Federation of Natural Language Processing, 2017.

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White, Aaron Steven; Rastogi, Pushpendre; Duh, Kevin; Durme, Benjamin Van

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

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 996–1005, Asian Federation of Natural Language Processing, 2017.

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Khayrallah, Huda; Kumar, Gaurav; Duh, Kevin; Post, Matt; Koehn, Philipp

Neural Lattice Search for Domain Adaptation in Machine Translation Inproceedings

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 20–25, Asian Federation of Natural Language Processing, 2017.

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Cotterell, Ryan; Duh, Kevin

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

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 91–96, Asian Federation of Natural Language Processing, 2017.

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Wang, Dingquan; Peng, Nanyun; Duh, Kevin

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

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 383–388, Asian Federation of Natural Language Processing, 2017.

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Xu, Hainan; Koehn, Philipp

Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora Inproceedings

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 2935–2940, Association for Computational Linguistics, Copenhagen, Denmark, 2017.

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Bojar, Ondřej; Chatterjee, Rajen; Federmann, Christian; Graham, Yvette; Haddow, Barry; Huang, Shujian; Huck, Matthias; Koehn, Philipp; Liu, Qun; Logacheva, Varvara; Monz, Christof; Negri, Matteo; Post, Matt; Rubino, Raphael; Specia, Lucia; Turchi, Marco

Findings of the 2017 Conference on Machine Translation (WMT17) Inproceedings

Proceedings of the Second Conference on Machine Translation, pp. 169–214, Association for Computational Linguistics, Copenhagen, Denmark, 2017.

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Nadejde, Maria; Reddy, Siva; Sennrich, Rico; Dwojak, Tomasz; Junczys-Dowmunt, Marcin; Koehn, Philipp; Birch, Alexandra

Predicting Target Language CCG Supertags Improves Neural Machine Translation Inproceedings

Proceedings of the Second Conference on Machine Translation, pp. 68–79, Association for Computational Linguistics, Copenhagen, Denmark, 2017.

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Ding, Shuoyang; Khayrallah, Huda; Koehn, Philipp; Post, Matt; Kumar, Gaurav; Duh, Kevin

The JHU Machine Translation Systems for WMT 2017 Inproceedings

Proceedings of the Second Conference on Machine Translation, pp. 276–282, Association for Computational Linguistics, Copenhagen, Denmark, 2017.

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Koehn, Philipp; Knowles, Rebecca

Six Challenges for Neural Machine Translation Inproceedings

Proceedings of the First Workshop on Neural Machine Translation, pp. 28–39, Association for Computational Linguistics, Vancouver, 2017.

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Renduchintala, Adithya; Koehn, Philipp; Eisner, Jason

Knowledge Tracing in Sequential Learning of Inflected Vocabulary Inproceedings

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pp. 238–247, Association for Computational Linguistics, Vancouver, Canada, 2017.

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Dredze, Mark; Wood-Doughty, Zachary; Quinn, Sandra Crouse; Broniatowski, David A

Vaccine opponents' use of Twitter during the 2016 US presidential election: Implications for practice and policy Journal Article

Vaccine, 2017.

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Sakaguchi, Keisuke; Post, Matt; Durme, Benjamin Van

Error-repair Dependency Parsing for Ungrammatical Texts Inproceedings

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 189–195, Association for Computational Linguistics, Vancouver, Canada, 2017.

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Center for Language and Speech Processing