2020
|
Hisamoto, Sorami; Post, Matt; Duh, Kevin Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Journal Article 2020. Links | BibTeX @article{Hisamoto2020,
title = {Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?},
author = {Sorami Hisamoto and Matt Post and Kevin Duh},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/hisamoto-etal-2020-membership.pdf},
year = {2020},
date = {2020-02-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Maciejewski, Matthew; Sell, Gregory; Fujita, Yusuke; Garcia-Perera, Leibny Paola; Watanabe, Shinji; Khudanpur, Sanjeev Building Corpora for Single-Channel Speech Separation Across Multiple Domains Workshop 2019. Links | BibTeX @workshop{Maciejewski2019,
title = {Building Corpora for Single-Channel Speech Separation Across Multiple Domains},
author = {Matthew Maciejewski and Gregory Sell and Yusuke Fujita and Leibny Paola Garcia-Perera and Shinji Watanabe and Sanjeev Khudanpur},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/Maciejewski__Sell__Fujita__Garcia-Perera__Watanabe__Khudanpur_-_Analysis_of_Robustness_of_Deep_Single-Channel_Speech_Separation_Using_Corpora.pdf},
year = {2019},
date = {2019-10-20},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
|
Post, Matt; Ding, Shuoyang; Martindale, Marianna J; Wu, Winston An Exploration of Placeholding in Neural Machine Translation Journal Article 2019. Links | BibTeX @article{Post2019,
title = {An Exploration of Placeholding in Neural Machine Translation},
author = {Matt Post and Shuoyang Ding and Marianna J. Martindale and Winston Wu},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/W19-6618.pdf},
year = {2019},
date = {2019-08-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lippincott, Tom Graph convolutional networks for exploring authorship hypotheses Proceeding 2019. Links | BibTeX @proceedings{Lippincott2019,
title = {Graph convolutional networks for exploring authorship hypotheses},
author = {Tom Lippincott},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/03/lippincott.pdf},
year = {2019},
date = {2019-06-03},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Ondel, Lucas; Li, Ruizhi; Sell, Gregory; Hermansky, Hynek Deriving Spectro-Temporal Properties of Hearing from Speech Data Conference 2019. Links | BibTeX @conference{Ondel2019,
title = {Deriving Spectro-Temporal Properties of Hearing from Speech Data},
author = {Lucas Ondel and Ruizhi Li and Gregory Sell and Hynek Hermansky},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/Ondel__Li__Sell__Hermansky_-_Deriving_Spectro-Temporal_Properties_of_Hearing_from_Speech_Data.pdf},
year = {2019},
date = {2019-05-12},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Stengel-Eskin, Elias; Su, Tzu-Ray; Post, Matt; Durme, Benjamin Van A Discriminative Neural Model for Cross-Lingual Word Alignment Journal Article 2019. Links | BibTeX @article{Stengel-Eskin2019,
title = {A Discriminative Neural Model for Cross-Lingual Word Alignment},
author = {Elias Stengel-Eskin and Tzu-Ray Su and Matt Post and Benjamin Van Durme},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/D19-1084.pdf},
year = {2019},
date = {2019-05-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hu, Edward J; Khayrallah, Huda; Culkin, Ryan; Xia, Patrick; Chen, Tongfei; Post, Matt; Durme, Benjamin Van Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting Journal Article 2019. Links | BibTeX @article{Hu2019c,
title = {Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting},
author = {J. Edward Hu and Huda Khayrallah and Ryan Culkin and Patrick Xia and Tongfei Chen and Matt Post and Benjamin Van Durme},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/K19-1005-1.pdf},
year = {2019},
date = {2019-05-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Snyder, David; Villalba, Jesus; Chen, Nanxin; Povey, Daniel; Sell, Gregory; Dehak, Najim; Khudanpur, Sanjeev The JHU Speaker Recognition System for the VOiCES 2019 Challenge Proceeding 2019. Links | BibTeX @proceedings{Snyder2019,
title = {The JHU Speaker Recognition System for the VOiCES 2019 Challenge},
author = {David Snyder and Jesus Villalba and Nanxin Chen and Daniel Povey and Gregory Sell and Najim Dehak and Sanjeev Khudanpur},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/03/Snyder__Villalba__Chen__Povey__Sell__Dehak__Khudanpur_-_The_JHU_Speaker_Recognition_System_for_the_VOiCES_2019_Challenge.pdf},
year = {2019},
date = {2019-04-05},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Villalba, Jesus; Chen, Nanxin; Snyder, David; Garcia-Romero, Daniel; McCree, Alan; Sell, Gregory; Borgstrom, Jonas; Richardson, Fred; Shon, Suwon; Grondin, Franc¸ois; Dehak, Reda; Garc´ıa-Perera, Leibny Paola; Povey, Daniel; Torres-Carrasquillo, Pedro A; Khudanpur, Sanjeev; Dehak, Najim State-of-the-art Speaker Recognition for Telephone and Video Speech: the JHU-MIT Submission for NIST SRE18 Conference 2019. Links | BibTeX @conference{Villalba2019,
title = {State-of-the-art Speaker Recognition for Telephone and Video Speech: the JHU-MIT Submission for NIST SRE18},
author = {Jesus Villalba and Nanxin Chen and David Snyder and Daniel Garcia-Romero and Alan McCree and Gregory Sell and Jonas Borgstrom and Fred Richardson and Suwon Shon and Franc¸ois Grondin and Reda Dehak and Leibny Paola Garc´ıa-Perera and Daniel Povey and Pedro A. Torres-Carrasquillo and Sanjeev Khudanpur and Najim Dehak},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/03/Villalba__Chen__Synder__Garcia-Romero__McCree__Sell__Borgstrom__Richardson__Shon__Grondin__Dehak__Garcia-Perera__Povey__Torres-Carrasquil-1.pdf},
year = {2019},
date = {2019-04-01},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Hu, Edward J; Singh, Abhinav; Holzenberger, Nils; Post, Matt; Durme, Benjamin Van Diverse Paraphrasing via Sampling and Clustering Journal Article 2019. Links | BibTeX @article{Hu2019b,
title = {Diverse Paraphrasing via Sampling and Clustering},
author = {J. Edward Hu and Abhinav Singh and Nils Holzenberger and Matt Post and Benjamin Van Durme},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/K19-1005.pdf},
year = {2019},
date = {2019-04-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Li, Ruizhi; Sell, Gregory; Hermansky, Hynek Performance Monitoring for End-to-End Speech Recognition Proceeding 2019. Links | BibTeX @proceedings{Hermansky2019,
title = {Performance Monitoring for End-to-End Speech Recognition},
author = {Ruizhi Li and Gregory Sell and Hynek Hermansky},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/03/Li__Sell__Hermansky_-_Performance_Monitoring_for_End-to-End_Speech_Recognition.pdf},
year = {2019},
date = {2019-03-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Etter, David; Rawls, Stephen; Carpenter, Cameron; Sell, Gregory A Synthetic Recipe for OCR Proceeding 2019. Links | BibTeX @proceedings{Etter2019,
title = {A Synthetic Recipe for OCR},
author = {David Etter and Stephen Rawls and Cameron Carpenter and Gregory Sell},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/03/Etter__Rawls__Carpenter__Sell_-_A_Synthetic_Recipe_for_OCR.pdf},
year = {2019},
date = {2019-03-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Sell, Gregory; Etter, David; Garcia-Romero, Daniel; McCree, Alan Script Identification using Across- and Within-Image Distribution Estimation Proceeding 2019. Links | BibTeX @proceedings{Sell2019,
title = {Script Identification using Across- and Within-Image Distribution Estimation},
author = {Gregory Sell and David Etter and Daniel Garcia-Romero and Alan McCree},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/Sell__Etter__Garcia-Romero__McCree_-_Script_Identification_using_Across-_and_Within-Image_Distribution_Estimation.pdf},
year = {2019},
date = {2019-02-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Hu, Edward J; Rudinger, Rachel; Post, Matt; Durme, Benjamin Van PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Journal Article 2019. Links | BibTeX @article{Hu2019,
title = {PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural},
author = {J. Edward Hu and Rachel Rudinger and Matt Post and Benjamin Van Durme},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/2YXOZE-hu-etal-2019-parabank.pdf},
year = {2019},
date = {2019-01-27},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Kothinti, Sandeep; Imoto, Keisuke; Chakrabarty, Debmalya; Sell, Gregory; Watanabe, Shinji; Elhilali, Mounya JOINT ACOUSTIC AND CLASS INFERENCE FOR WEAKLY SUPERVISED SOUND EVENT DETECTION Conference 2018. Links | BibTeX @conference{Kothinti2018,
title = {JOINT ACOUSTIC AND CLASS INFERENCE FOR WEAKLY SUPERVISED SOUND EVENT DETECTION},
author = {Sandeep Kothinti and Keisuke Imoto and Debmalya Chakrabarty and Gregory Sell and Shinji Watanabe and Mounya Elhilali},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/Kothinti__Imoto__Chakrabaarty__Sell__Watanable__Elhilali_-_Joint_Acoustic_and_Class_Inference_for_Weakly_Supervised_Sound_Event_Detection.pdf},
year = {2018},
date = {2018-11-01},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Sell, Gregory; Snyder, David; McCree, Alan; Garcia-Romero, Daniel; Villalba, Jesus; ´
Maciejewski, Matthew; Manohar, Vimal; Dehak, Najim; Povey, Daniel; Watanabe, Shinji; Khudanpur, Sanjeev Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Conference 2018. Links | BibTeX @conference{Sell2018,
title = {Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge},
author = {Gregory Sell and David Snyder and Alan McCree and Daniel Garcia-Romero and Jesus Villalba and Matthew ´
Maciejewski and Vimal Manohar and Najim Dehak and Daniel Povey and Shinji Watanabe and Sanjeev Khudanpur},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/IS18_dihard.pdf},
year = {2018},
date = {2018-09-02},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Lippincott, Thomas Portable, layer-wise task performance monitoring for NLP models Proceeding 2018. Links | BibTeX @proceedings{Lippincott2018,
title = {Portable, layer-wise task performance monitoring for NLP models},
author = {Thomas Lippincott},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/vivisect.pdf},
year = {2018},
date = {2018-09-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Lippincott, Tom; Carrell, Annabelle Observational Comparison of Geo-tagged and Randomly-drawn Tweets Journal Article 2018. Links | BibTeX @article{Lippincott2018b,
title = {Observational Comparison of Geo-tagged and Randomly-drawn Tweets},
author = {Tom Lippincott and Annabelle Carrell},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/geo.pdf},
year = {2018},
date = {2018-06-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sell, Gregory; Duh, Kevin; Snyder, David; Etter, Dave; Garcia-Romero, Daniel Audio-Visual Person Recognition in Multimedia Data from the IARPA Janus Program Proceeding 2018. Links | BibTeX @proceedings{Sell2018b,
title = {Audio-Visual Person Recognition in Multimedia Data from the IARPA Janus Program},
author = {Gregory Sell and Kevin Duh and David Snyder and Dave Etter and Daniel Garcia-Romero},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/ICASSP18_Janus.pdf},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2017
|
Khayrallah, Huda; Kumar, Gaurav; Duh, Kevin; Post, Matt; Koehn, Philipp Neural Lattice Rescoring for Phrase-based Machine Translation Conference 2017. Links | BibTeX @conference{Khayrallah2017,
title = {Neural Lattice Rescoring for Phrase-based Machine Translation},
author = {Huda Khayrallah and Gaurav Kumar and Kevin Duh and Matt Post and Philipp Koehn},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/I17-2004.pdf},
year = {2017},
date = {2017-05-01},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2016
|
Lippincott, Tom; Durme, Benjamin Van Fluency detection on communication networks Proceeding 2016. Links | BibTeX @proceedings{Lippincott2016,
title = {Fluency detection on communication networks},
author = {Tom Lippincott and Benjamin Van Durme},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2020/04/fluency.pdf},
year = {2016},
date = {2016-11-01},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Yung, Frances ; Duh, Kevin ; Komura, Taku ; Matsumoto, Yuji Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics Inproceedings Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 531–536, Association for Computational Linguistics, Berlin, Germany, 2016. Links | BibTeX @inproceedings{yung16connectives,
title = {Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics},
author = {Yung, Frances and Duh, Kevin and Komura, Taku and Matsumoto, Yuji},
url = {http://anthology.aclweb.org/P16-2086},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
pages = {531--536},
publisher = {Association for Computational Linguistics},
address = {Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ding, Shuoyang ; Duh, Kevin ; Khayrallah, Huda ; Koehn, Philipp ; Post, Matt The JHU Machine Translation Systems for WMT 2016 Inproceedings Proceedings of the First Conference on Machine Translation, pp. 272–280, Association for Computational Linguistics, Berlin, Germany, 2016. Links | BibTeX @inproceedings{ding16wmt,
title = {The JHU Machine Translation Systems for WMT 2016},
author = {Ding, Shuoyang and Duh, Kevin and Khayrallah, Huda and Koehn, Philipp and Post, Matt},
url = {http://www.aclweb.org/anthology/W16-2310},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of the First Conference on Machine Translation},
pages = {272--280},
publisher = {Association for Computational Linguistics},
address = {Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Yung, Frances ; Duh, Kevin ; Komura, Taku ; Matsumoto, Yuji Modelling the Usage of Discourse Connectives as Rational Speech Acts Inproceedings Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, pp. 302–313, Association for Computational Linguistics, Berlin, Germany, 2016. Links | BibTeX @inproceedings{yung16rational,
title = {Modelling the Usage of Discourse Connectives as Rational Speech Acts},
author = {Yung, Frances and Duh, Kevin and Komura, Taku and Matsumoto, Yuji},
url = {http://www.aclweb.org/anthology/K16-1030},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning},
pages = {302--313},
publisher = {Association for Computational Linguistics},
address = {Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
McCree, Alan; Sell, Gregory; Garcia-Romero, Daniel Augmented Data Training of Joint Acoustic/Phonotactic DNN i-vectors for NIST LRE15 Inproceedings Proceedings of Odyssey, 2016. Abstract | Links | BibTeX @inproceedings{McCree_Sell_Garcia-Romero_2016A,
title = {Augmented Data Training of Joint Acoustic/Phonotactic DNN i-vectors for NIST LRE15},
author = {Alan McCree and Gregory Sell and Daniel Garcia-Romero},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/10/McCree_Sell_Garcia-Romero_2016A.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of Odyssey},
abstract = {This paper presents the JHU HLTCOE submission to the NIST 2015 Language Recognition Evaluation, including critical and novel algorithmic components, use of limited and augmented training data, and additional post-evaluation analysis and improvements. All of our systems used i-vectors based on Deep Neural Networks (DNNs) with discriminatively-trained Gaussian classifiers, and linear fusion was performed with duration-dependent scaling. A key innovation was the use of three different kinds of i-vectors: acoustic, phonotactic, and joint. In addition, data augmentation was used to overcome the limited training data of this evaluation. Post-evaluation analysis shows the benefits of these design decisions as well as further potential improvements.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents the JHU HLTCOE submission to the NIST 2015 Language Recognition Evaluation, including critical and novel algorithmic components, use of limited and augmented training data, and additional post-evaluation analysis and improvements. All of our systems used i-vectors based on Deep Neural Networks (DNNs) with discriminatively-trained Gaussian classifiers, and linear fusion was performed with duration-dependent scaling. A key innovation was the use of three different kinds of i-vectors: acoustic, phonotactic, and joint. In addition, data augmentation was used to overcome the limited training data of this evaluation. Post-evaluation analysis shows the benefits of these design decisions as well as further potential improvements. |
Sell, Gregory; McCree, Alan; Garcia-Romero, Daniel Priors for Speaker Counting and Diarization with AHC Inproceedings Proceedings of Interspeech, 2016. Abstract | Links | BibTeX @inproceedings{Sell_McCree_Garcia-Romero_2016A,
title = {Priors for Speaker Counting and Diarization with AHC},
author = {Gregory Sell and Alan McCree and Daniel Garcia-Romero},
url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/10/Sell_McCree_Garcia-Romero_2016A.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of Interspeech},
abstract = {Estimating the number of speakers in an audio segment is a necessary step in the process of speaker diarization, but current diarization algorithms do not explicitly define a prior probability on this estimation. This work proposes a process for including priors in speaker diarization with agglomerative hierarchical clustering (AHC). It is also shown that the exclusion of a prior with AHC is itself implicitly a prior, which is found to be geometric growth in the number of speakers. By using more sensible priors, we are able to demonstrate significantly improved robustness to calibration error for speaker counting and speaker diarization.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Estimating the number of speakers in an audio segment is a necessary step in the process of speaker diarization, but current diarization algorithms do not explicitly define a prior probability on this estimation. This work proposes a process for including priors in speaker diarization with agglomerative hierarchical clustering (AHC). It is also shown that the exclusion of a prior with AHC is itself implicitly a prior, which is found to be geometric growth in the number of speakers. By using more sensible priors, we are able to demonstrate significantly improved robustness to calibration error for speaker counting and speaker diarization. |
Tsubaki, Masashi; Duh, Kevin; Shimbo, Masashi; Matsumoto, Yuji Non-Linear Similarity Learning for Compositionality Inproceedings AAAI Conference on Artificial Intelligence, 2016. Abstract | Links | BibTeX @inproceedings{tsubaki16nonlinear,
title = {Non-Linear Similarity Learning for Compositionality},
author = {Masashi Tsubaki and Kevin Duh and Masashi Shimbo and Yuji Matsumoto},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12373},
year = {2016},
date = {2016-01-01},
booktitle = {AAAI Conference on Artificial Intelligence},
abstract = {Many NLP applications rely on the existence ofsimilarity measures over text data.Although word vector space modelsprovide good similarity measures between words,phrasal and sentential similarities derived from compositionof individual words remain as a difficult problem.In this paper, we propose a new method of ofnon-linear similarity learning for semantic compositionality.In this method, word representations are learnedthrough the similarity learning of sentencesin a high-dimensional space with kernel functions.On the task of predicting the semantic similarity oftwo sentences (SemEval 2014, Task 1),our method outperforms linear baselines,feature engineering approaches,recursive neural networks,and achieve competitive results with long short-term memory models.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Many NLP applications rely on the existence ofsimilarity measures over text data.Although word vector space modelsprovide good similarity measures between words,phrasal and sentential similarities derived from compositionof individual words remain as a difficult problem.In this paper, we propose a new method of ofnon-linear similarity learning for semantic compositionality.In this method, word representations are learnedthrough the similarity learning of sentencesin a high-dimensional space with kernel functions.On the task of predicting the semantic similarity oftwo sentences (SemEval 2014, Task 1),our method outperforms linear baselines,feature engineering approaches,recursive neural networks,and achieve competitive results with long short-term memory models. |
Tanaka, Tomohiro; Moriya, Takafumi; Shinozaki, Takahiro; Watanabe, Shinji; Hori, Takaaki; Duh, Kevin Automated structure discovery and parameter tuning of neural network language model based on evolution strategy Inproceedings Proceedings of the 2016 IEEE Workshop on Spoken Language Technology, 2016. BibTeX @inproceedings{tanaka16evolution,
title = {Automated structure discovery and parameter tuning of neural network language model based on evolution strategy},
author = {Tomohiro Tanaka and Takafumi Moriya and Takahiro Shinozaki and Shinji Watanabe and Takaaki Hori and Kevin Duh},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 2016 IEEE Workshop on Spoken Language Technology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lyzinski, V Information Recovery in Shuffled Graphs via Graph Matching Journal Article arXiv preprint arXiv:1605.02315, 2016. BibTeX @article{lyzinski2016information,
title = {Information Recovery in Shuffled Graphs via Graph Matching},
author = {Lyzinski, V.},
year = {2016},
date = {2016-01-01},
journal = {arXiv preprint arXiv:1605.02315},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lyzinski, V; Park, Y; Priebe, C E; Trosset, M W Fast Embedding for JOFC Using the Raw Stress Criterion Journal Article Journal of Computational and Graphical Statistics, Accepted for publication , 2016. BibTeX @article{lyzinski2015fast,
title = {Fast Embedding for JOFC Using the Raw Stress Criterion},
author = {Lyzinski, V. and Park, Y. and Priebe, C. E. and Trosset, M. W.},
year = {2016},
date = {2016-01-01},
journal = {Journal of Computational and Graphical Statistics},
volume = {Accepted for publication},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Zheng, D; Mhembere, D; Lyzinski, V; Vogelstein, J; Priebe, C E; Burns, R Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture Journal Article IEEE Transactions in Parallel and Distributed Systems, Accepted for publication , 2016. BibTeX @article{zheng2016semi,
title = {Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture},
author = {Zheng, D. and Mhembere, D. and Lyzinski, V. and Vogelstein, J. and Priebe, C. E. and Burns, R.},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions in Parallel and Distributed Systems},
volume = {Accepted for publication},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lyzinski, Vince ; Fishkind, Donniell E; Fiori, Marcelo ; Vogelstein, Joshua T; Priebe, Carey E; Sapiro, Guillermo Graph matching: Relax at your own risk Journal Article IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (1), pp. 60–73, 2016. BibTeX @article{rel,
title = {Graph matching: Relax at your own risk},
author = {Lyzinski, Vince and Fishkind, Donniell E and Fiori, Marcelo and Vogelstein, Joshua T and Priebe, Carey E and Sapiro, Guillermo},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {38},
number = {1},
pages = {60--73},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Tang, M; Athreya, A; Sussman, D L; Lyzinski, V; Park, Y; Priebe, C E A semiparametric two-sample hypothesis testing problem for random dot product graphs Journal Article Journal of Computational and Graphical Statistics, Accepted for publication , 2016. BibTeX @article{MT2,
title = {A semiparametric two-sample hypothesis testing problem for random dot product graphs},
author = {M. Tang and A. Athreya and D. L. Sussman and V. Lyzinski and Y. Park and C. E. Priebe},
year = {2016},
date = {2016-01-01},
journal = {Journal of Computational and Graphical Statistics},
volume = {Accepted for publication},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lyzinski, V; Levin, K; Fishkind, D E; Priebe, C E On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching Journal Article Journal of Machine Learning Research, 17 (179), pp. 1–34, 2016. BibTeX @article{VN3,
title = {On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching},
author = {Lyzinski, V. and Levin, K. and Fishkind, D. E. and Priebe, C. E.},
year = {2016},
date = {2016-01-01},
journal = {Journal of Machine Learning Research},
volume = {17},
number = {179},
pages = {1--34},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lyzinski, Vince ; Tang, Minh ; Athreya, Avanti ; Park, Youngser ; Priebe, Carey E Community Detection and Classification in Hierarchical Stochastic Blockmodels Journal Article IEEE Transactions on Network Science and Engineering, accepted for publication , 2016. BibTeX @article{lyzinski2015community,
title = {Community Detection and Classification in Hierarchical Stochastic Blockmodels},
author = {Lyzinski, Vince and Tang, Minh and Athreya, Avanti and Park, Youngser and Priebe, Carey E},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions on Network Science and Engineering},
volume = {accepted for publication},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Chen, L; Vogelstein, J T; Lyzinski, V; Priebe, C E A joint graph inference case study: the c. elegans chemical and electrical connectomes Inproceedings Worm, Taylor & Francis 2016. BibTeX @inproceedings{chen2016joint,
title = {A joint graph inference case study: the c. elegans chemical and electrical connectomes},
author = {L. Chen and J. T. Vogelstein and V. Lyzinski and C. E. Priebe},
year = {2016},
date = {2016-01-01},
booktitle = {Worm},
volume = {5},
number = {2},
organization = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Bojar, Ondřej ; Chatterjee, Rajen ; Federmann, Christian ; Haddow, Barry ; Huck, Matthias ; Hokamp, Chris ; Koehn, Philipp ; Logacheva, Varvara ; Monz, Christof ; Negri, Matteo ; Post, Matt ; Scarton, Carolina ; Specia, Lucia ; Turchi, Marco Findings of the 2015 Workshop on Statistical Machine Translation Inproceedings Proceedings of the Tenth Workshop on Statistical Machine Translation, pp. 1–46, Association for Computational Linguistics, Lisbon, Portugal, 2015. BibTeX @inproceedings{bojar-EtAl:2015:WMT,
title = {Findings of the 2015 Workshop on Statistical Machine Translation},
author = {Bojar, Ondřej and Chatterjee, Rajen and Federmann, Christian and Haddow, Barry and Huck, Matthias and Hokamp, Chris and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Scarton, Carolina and Specia, Lucia and Turchi, Marco},
year = {2015},
date = {2015-09-01},
booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation},
pages = {1--46},
publisher = {Association for Computational Linguistics},
address = {Lisbon, Portugal},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Napoles, Courtney ; Sakaguchi, Keisuke ; Post, Matt ; Tetreault, Joel Ground Truth for Grammatical Error Correction Metrics Inproceedings Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 588–593, Association for Computational Linguistics, Beijing, China, 2015. BibTeX @inproceedings{napoles2015ground,
title = {Ground Truth for Grammatical Error Correction Metrics},
author = {Napoles, Courtney and Sakaguchi, Keisuke and Post, Matt and Tetreault, Joel},
year = {2015},
date = {2015-07-01},
booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
pages = {588--593},
publisher = {Association for Computational Linguistics},
address = {Beijing, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sylak-Glassman, John ; Kirov, Christo ; Post, Matt ; Que, Roger ; Yarowsky, David A Universal Feature Schema for Rich Morphological Annotation and Fine-Grained Cross-Lingual Part-of- Speech Tagging Incollection Systems and Frameworks for Computational Morphology, Springer, 2015. BibTeX @incollection{sylak-glassman2015a-universal,
title = {A Universal Feature Schema for Rich Morphological Annotation and Fine-Grained Cross-Lingual Part-of- Speech Tagging},
author = {Sylak-Glassman, John and Kirov, Christo and Post, Matt and Que, Roger and Yarowsky, David},
year = {2015},
date = {2015-01-01},
booktitle = {Systems and Frameworks for Computational Morphology},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Post, Matt ; Cao, Yuan ; Kumar, Gaurav Joshua 6: A phrase-based and hierarchical statistical machine translation system Journal Article The Prague Bulletin of Mathematical Linguistics, 2015. BibTeX @article{post2015joshua,
title = {Joshua 6: A phrase-based and hierarchical statistical machine translation system},
author = {Post, Matt and Cao, Yuan and Kumar, Gaurav},
year = {2015},
date = {2015-01-01},
journal = {The Prague Bulletin of Mathematical Linguistics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Tang, M; Athreya, A; Sussman, D L; Lyzinski, V; Priebe, C E A nonparametric two-sample hypothesis testing problem for random dot product graphs Journal Article Bernoulli, Accepted for publication , 2015. BibTeX @article{tang2014nonparametric,
title = {A nonparametric two-sample hypothesis testing problem for random dot product graphs},
author = {Tang, M. and Athreya, A. and Sussman, D. L. and Lyzinski, V. and Priebe, C. E.},
year = {2015},
date = {2015-01-01},
journal = {Bernoulli},
volume = {Accepted for publication},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Fishkind, D E; Lyzinski, V; Pao, H; Chen, L; Priebe, C E Vertex nomination schemes for membership prediction Journal Article The Annals of Applied Statistics, 9 (3), pp. 1510–1532, 2015. BibTeX @article{fishkind2015vertex,
title = {Vertex nomination schemes for membership prediction},
author = {Fishkind, D. E. and Lyzinski, V. and Pao, H. and Chen, L. and Priebe, C. E.},
year = {2015},
date = {2015-01-01},
journal = {The Annals of Applied Statistics},
volume = {9},
number = {3},
pages = {1510--1532},
publisher = {Institute of Mathematical Statistics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lyzinski, V; Sussman, D L; Fishkind, D E; Pao, H; Chen, L; Vogelstein, J T; Park, Y; Priebe, C E Spectral clustering for divide-and-conquer graph matching Journal Article Parallel Computing, 47 , pp. 70–87, 2015. BibTeX @article{lyzinski_spectral,
title = {Spectral clustering for divide-and-conquer graph matching},
author = {Lyzinski, V. and Sussman, D. L. and Fishkind, D. E. and Pao, H. and Chen, L. and Vogelstein, J. T. and Park, Y. and Priebe, C. E.},
year = {2015},
date = {2015-01-01},
journal = {Parallel Computing},
volume = {47},
pages = {70--87},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Broniatowski, David; Dredze, Mark ; Paul, Michael; Dugas, Andrea Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital Journal Article 2015. BibTeX @article{Broniatowski:2015pi,
title = {Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital},
author = {David Broniatowski and Dredze, Mark and Michael Paul and Andrea Dugas},
year = {2015},
date = {2015-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gormley, Matt ; Yu, Mo; Dredze, Mark Improved Relation Extraction with Feature-Rich Compositional Embedding Models Inproceedings Empirical Methods in Natural Language Processing (EMNLP), 2015. BibTeX @inproceedings{Gormley:2015ly,
title = {Improved Relation Extraction with Feature-Rich Compositional Embedding Models},
author = {Gormley, Matt and Mo Yu and Dredze, Mark},
year = {2015},
date = {2015-01-01},
booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Benton, Adrian; Dredze, Mark Entity Linking for Spoken Language Inproceedings North American Chapter of the Association for Computational Linguistics (NAACL), 2015. Abstract | Links | BibTeX @inproceedings{Benton:2015qq,
title = {Entity Linking for Spoken Language},
author = {Adrian Benton and Dredze, Mark},
url = {http://aclweb.org/anthology/N/N15/N15-1024.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {North American Chapter of the Association for Computational Linguistics (NAACL)},
abstract = {Research on entity linking has considered a broad range of text, including newswire, blogs and web documents in multiple languages. However, the problem of entity linking for spoken language remains unexplored. Spoken language obtained from automatic speech recognition systems poses different types of challenges for entity linking; transcription errors can distort the context, and named entities tend to have high error rates. We propose features to mitigate these errors and evaluate the impact of ASR errors on entity linking using a new corpus of entity linked broadcast news transcripts.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Research on entity linking has considered a broad range of text, including newswire, blogs and web documents in multiple languages. However, the problem of entity linking for spoken language remains unexplored. Spoken language obtained from automatic speech recognition systems poses different types of challenges for entity linking; transcription errors can distort the context, and named entities tend to have high error rates. We propose features to mitigate these errors and evaluate the impact of ASR errors on entity linking using a new corpus of entity linked broadcast news transcripts. |
Smith, Michael; Broniatowski, David; Paul, Michael; Dredze, Mark Tracking Public Awareness of Influenza through Twitter Inproceedings 3rd International Conference on Digital Disease Detection (DDD), 2015. BibTeX @inproceedings{Smith:2015mz,
title = {Tracking Public Awareness of Influenza through Twitter},
author = {Michael Smith and David Broniatowski and Michael Paul and Dredze, Mark},
year = {2015},
date = {2015-01-01},
booktitle = {3rd International Conference on Digital Disease Detection (DDD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Peng, Nanyun; Yu, Mo; Dredze, Mark An Empirical Study of Chinese Name Matching and Applications Inproceedings Association for Computational Linguistics (ACL) (short paper), 2015. BibTeX @inproceedings{Peng:2015db,
title = {An Empirical Study of Chinese Name Matching and Applications},
author = {Nanyun Peng and Mo Yu and Dredze, Mark},
year = {2015},
date = {2015-01-01},
booktitle = {Association for Computational Linguistics (ACL) (short paper)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kumar, Mrinal; Dredze, Mark ; Coppersmith, Glen ; Choudhury, Munmun Discovering Links between Reports of Celebrity Suicides and Suicidal Ideation from Social Media Inproceedings NAACL Workshop on Computational Linguistics and Clinical Psychology, 2015. BibTeX @inproceedings{Kumar:2015dq,
title = {Discovering Links between Reports of Celebrity Suicides and Suicidal Ideation from Social Media},
author = {Mrinal Kumar and Dredze, Mark and Coppersmith, Glen and Munmun Choudhury},
year = {2015},
date = {2015-01-01},
booktitle = {NAACL Workshop on Computational Linguistics and Clinical Psychology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfe, Travis ; Dredze, Mark ; Mayfield, James ; McNamee, Paul ; Harman, Craig ; Finin, Tim ; Van Durme, Benjamin Interactive Knowledge Base Population Journal Article 2015. Links | BibTeX @article{Wolfe:2015qr,
title = {Interactive Knowledge Base Population},
author = {Wolfe, Travis and Dredze, Mark and Mayfield, James and McNamee, Paul and Harman, Craig and Finin, Tim and Van Durme, Benjamin},
url = {http://arxiv.org/pdf/1506.00301.pdf},
year = {2015},
date = {2015-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
