2019
|
Moro-Velazquez, Laureano; Gomez-Garcia, Jorge Andres; Godino-Llorente, Juan Ignacio; Villalba, Jesus; Rusz, Jan; Shattuck-Hufnagel, Stephanie; Dehak, Najim A forced Gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing Journal Article Biomedical Signal Processing and Control, 48 , pp. 205–220, 2019. Links | BibTeX @article{moro2018forced,
title = {A forced Gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing},
author = {Laureano Moro-Velazquez and Jorge Andres Gomez-Garcia and Juan Ignacio Godino-Llorente and Jesus Villalba and Jan Rusz and Stephanie Shattuck-Hufnagel and Najim Dehak},
url = {https://doi.org/10.1016/j.bspc.2018.10.020},
year = {2019},
date = {2019-01-01},
journal = {Biomedical Signal Processing and Control},
volume = {48},
pages = {205--220},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
'i, JA Gómez-Garc; Moro-Velázquez, L; Godino-Llorente, JI On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors Journal Article Biomedical Signal Processing and Control, 48 , pp. 128–143, 2019. Links | BibTeX @article{gomez2019design,
title = {On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors},
author = {JA Gómez-Garc{'i}a and L Moro-Velázquez and JI Godino-Llorente},
url = {https://www.sciencedirect.com/science/article/pii/S1746809418302416},
year = {2019},
date = {2019-01-01},
journal = {Biomedical Signal Processing and Control},
volume = {48},
pages = {128--143},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Moriya, T; Tanaka, T; Shinozaki, T; Watanabe, S; Duh, K Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition Journal Article IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (1), pp. 77-88, 2019, ISSN: 2329-9290. Links | BibTeX @article{8470178,
title = {Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition},
author = {T Moriya and T Tanaka and T Shinozaki and S Watanabe and K Duh},
doi = {10.1109/TASLP.2018.2871755},
issn = {2329-9290},
year = {2019},
date = {2019-01-01},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
volume = {27},
number = {1},
pages = {77-88},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Thompson, Brian; Khayrallah, Huda; Anastasopoulos, Antonios; McCarthy, Arya D; Duh, Kevin; Marvin, Rebecca; McNamee, Paul; Gwinnup, Jeremy; Anderson, Tim; Koehn, Philipp Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation Inproceedings Proceedings of the Third Conference on Machine Translation: Research Papers, pp. 124–132, Association for Computational Linguistics, Belgium, Brussels, 2018. Links | BibTeX @inproceedings{thompson-EtAl:2018:WMT,
title = {Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation},
author = {Brian Thompson and Huda Khayrallah and Antonios Anastasopoulos and Arya D McCarthy and Kevin Duh and Rebecca Marvin and Paul McNamee and Jeremy Gwinnup and Tim Anderson and Philipp Koehn},
url = {http://www.aclweb.org/anthology/W18-6313},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the Third Conference on Machine Translation: Research Papers},
pages = {124--132},
publisher = {Association for Computational Linguistics},
address = {Belgium, Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bojar, OndÅ™ej; Federmann, Christian; Fishel, Mark; Graham, Yvette; Haddow, Barry; Koehn, Philipp; Monz, Christof Findings of the 2018 Conference on Machine Translation (WMT18) Inproceedings Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pp. 272–303, Association for Computational Linguistics, Belgium, Brussels, 2018. Links | BibTeX @inproceedings{bojar-EtAl:2018:WMT1,
title = {Findings of the 2018 Conference on Machine Translation (WMT18)},
author = {Ondřej Bojar and Christian Federmann and Mark Fishel and Yvette Graham and Barry Haddow and Philipp Koehn and Christof Monz},
url = {http://www.aclweb.org/anthology/W18-6401},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the Third Conference on Machine Translation: Shared Task Papers},
pages = {272--303},
publisher = {Association for Computational Linguistics},
address = {Belgium, Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Koehn, Philipp; Khayrallah, Huda; Heafield, Kenneth; Forcada, Mikel L Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering Inproceedings Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pp. 726–739, Association for Computational Linguistics, Belgium, Brussels, 2018. Links | BibTeX @inproceedings{koehn-EtAl:2018:WMT,
title = {Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering},
author = {Philipp Koehn and Huda Khayrallah and Kenneth Heafield and Mikel L Forcada},
url = {http://www.aclweb.org/anthology/W18-6453},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the Third Conference on Machine Translation: Shared Task Papers},
pages = {726--739},
publisher = {Association for Computational Linguistics},
address = {Belgium, Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Koehn, Philipp; Duh, Kevin; Thompson, Brian The JHU Machine Translation Systems for WMT 2018 Inproceedings Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pp. 438–444, Association for Computational Linguistics, Belgium, Brussels, 2018. Links | BibTeX @inproceedings{koehn-duh-thompson:2018:WMT,
title = {The JHU Machine Translation Systems for WMT 2018},
author = {Philipp Koehn and Kevin Duh and Brian Thompson},
url = {http://www.aclweb.org/anthology/W18-6417},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the Third Conference on Machine Translation: Shared Task Papers},
pages = {438--444},
publisher = {Association for Computational Linguistics},
address = {Belgium, Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Khayrallah, Huda; Xu, Hainan; Koehn, Philipp The JHU Parallel Corpus Filtering Systems for WMT 2018 Inproceedings Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pp. 896–899, Association for Computational Linguistics, Belgium, Brussels, 2018. Links | BibTeX @inproceedings{khayrallah-xu-koehn:2018:WMT,
title = {The JHU Parallel Corpus Filtering Systems for WMT 2018},
author = {Huda Khayrallah and Hainan Xu and Philipp Koehn},
url = {http://www.aclweb.org/anthology/W18-6479},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the Third Conference on Machine Translation: Shared Task Papers},
pages = {896--899},
publisher = {Association for Computational Linguistics},
address = {Belgium, Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cotterell, Ryan; Kirov, Christo; Sylak-Glassman, John; Walther, Géraldine; Vylomova, Ekaterina; McCarthy, Arya D; Kann, Katharina; Mielke, Sebastian; Nicolai, Garrett; Silfverberg, Miikka; Yarowsky, David; Eisner, Jason; Hulden, Mans The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection Inproceedings Proceedings of the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Association for Computational Linguistics, Brussels, Belgium, 2018. BibTeX @inproceedings{cotterell-EtAl:2018c,
title = {The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection},
author = {Ryan Cotterell and Christo Kirov and John Sylak-Glassman and Géraldine Walther and Ekaterina Vylomova and Arya D McCarthy and Katharina Kann and Sebastian Mielke and Garrett Nicolai and Miikka Silfverberg and David Yarowsky and Jason Eisner and Mans Hulden},
year = {2018},
date = {2018-10-01},
booktitle = {Proceedings of the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection},
publisher = {Association for Computational Linguistics},
address = {Brussels, Belgium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hoang, Vu Cong Duy; Koehn, Philipp; Haffari, Gholamreza; Cohn, Trevor Iterative Back-Translation for Neural Machine Translation Inproceedings Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pp. 18–24, Association for Computational Linguistics, Melbourne, Australia, 2018. Abstract | Links | BibTeX @inproceedings{hoang-EtAl:2018:WNMT20181,
title = {Iterative Back-Translation for Neural Machine Translation},
author = {Vu Cong Duy Hoang and Philipp Koehn and Gholamreza Haffari and Trevor Cohn},
url = {http://www.aclweb.org/anthology/W18-2703},
year = {2018},
date = {2018-07-01},
booktitle = {Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
pages = {18--24},
publisher = {Association for Computational Linguistics},
address = {Melbourne, Australia},
abstract = {We present iterative back-translation, a method for generating increasingly better synthetic parallel data from monolingual data to train neural machine translation systems. Our proposed method is very simple yet effective and highly applicable in practice. We demonstrate improvements in neural machine translation quality in both high and low resourced scenarios, including the best reported BLEU scores for the WMT 2017 German↔English tasks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present iterative back-translation, a method for generating increasingly better synthetic parallel data from monolingual data to train neural machine translation systems. Our proposed method is very simple yet effective and highly applicable in practice. We demonstrate improvements in neural machine translation quality in both high and low resourced scenarios, including the best reported BLEU scores for the WMT 2017 German↔English tasks. |
Kothur, Sachith Sri Ram; Knowles, Rebecca; Koehn, Philipp Document-Level Adaptation for Neural Machine Translation Inproceedings Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pp. 64–73, Association for Computational Linguistics, Melbourne, Australia, 2018. Abstract | Links | BibTeX @inproceedings{kothur-knowles-koehn:2018:WNMT2018,
title = {Document-Level Adaptation for Neural Machine Translation},
author = {Sachith Sri Ram Kothur and Rebecca Knowles and Philipp Koehn},
url = {http://www.aclweb.org/anthology/W18-2708},
year = {2018},
date = {2018-07-01},
booktitle = {Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
pages = {64--73},
publisher = {Association for Computational Linguistics},
address = {Melbourne, Australia},
abstract = {It is common practice to adapt machine translation systems to novel domains, but even a well-adapted system may be able to perform better on a particular document if it were to learn from a translator's corrections within the document itself. We focus on adaptation within a single document -- appropriate for an interactive translation scenario where a model adapts to a human translator's input over the course of a document. We propose two methods: single-sentence adaptation (which performs online adaptation one sentence at a time) and dictionary adaptation (which specifically addresses the issue of translating novel words). Combining the two models results in improvements over both approaches individually, and over baseline systems, even on short documents. On WMT news test data, we observe an improvement of +1.8 BLEU points and +23.3% novel word translation accuracy and on EMEA data (descriptions of medications) we observe an improvement of +2.7 BLEU points and +49.2% novel word translation accuracy.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
It is common practice to adapt machine translation systems to novel domains, but even a well-adapted system may be able to perform better on a particular document if it were to learn from a translator's corrections within the document itself. We focus on adaptation within a single document -- appropriate for an interactive translation scenario where a model adapts to a human translator's input over the course of a document. We propose two methods: single-sentence adaptation (which performs online adaptation one sentence at a time) and dictionary adaptation (which specifically addresses the issue of translating novel words). Combining the two models results in improvements over both approaches individually, and over baseline systems, even on short documents. On WMT news test data, we observe an improvement of +1.8 BLEU points and +23.3% novel word translation accuracy and on EMEA data (descriptions of medications) we observe an improvement of +2.7 BLEU points and +49.2% novel word translation accuracy. |
Khayrallah, Huda; Koehn, Philipp On the Impact of Various Types of Noise on Neural Machine Translation Inproceedings Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pp. 74–83, Association for Computational Linguistics, Melbourne, Australia, 2018. Abstract | Links | BibTeX @inproceedings{khayrallah-koehn:2018:WNMT2018,
title = {On the Impact of Various Types of Noise on Neural Machine Translation},
author = {Huda Khayrallah and Philipp Koehn},
url = {http://www.aclweb.org/anthology/W18-2709},
year = {2018},
date = {2018-07-01},
booktitle = {Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
pages = {74--83},
publisher = {Association for Computational Linguistics},
address = {Melbourne, Australia},
abstract = {We examine how various types of noise in the parallel training data impact the quality of neural machine translation systems. We create five types of artificial noise and analyze how they degrade performance in neural and statistical machine translation. We find that neural models are generally more harmed by noise than statistical models. For one especially egregious type of noise they learn to just copy the input sentence.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We examine how various types of noise in the parallel training data impact the quality of neural machine translation systems. We create five types of artificial noise and analyze how they degrade performance in neural and statistical machine translation. We find that neural models are generally more harmed by noise than statistical models. For one especially egregious type of noise they learn to just copy the input sentence. |
Wolf-Sonkin, Lawrence; Naradowsky, Jason; Mielke, Sebastian J; Cotterell, Ryan A Structured Variational Autoencoder for Contextual Morphological Inflection Inproceedings Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2631–2641, Association for Computational Linguistics, Melbourne, Australia, 2018. Abstract | Links | BibTeX @inproceedings{wolf-sonkin-EtAl:2018:Long,
title = {A Structured Variational Autoencoder for Contextual Morphological Inflection},
author = {Lawrence Wolf-Sonkin and Jason Naradowsky and Sebastian J Mielke and Ryan Cotterell},
url = {http://www.aclweb.org/anthology/P18-1245},
year = {2018},
date = {2018-07-01},
booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages = {2631--2641},
publisher = {Association for Computational Linguistics},
address = {Melbourne, Australia},
abstract = {Statistical morphological inflectors are typically trained on fully supervised, type-level data. One remaining open research question is the following: How can we effectively exploit raw, token-level data to improve their performance? To this end, we introduce a novel generative latent-variable model for the semi-supervised learning of inflection generation. To enable posterior inference over the latent variables, we derive an efficient variational inference procedure based on the wake-sleep algorithm. We experiment on 23 languages, using the Universal Dependencies corpora in a simulated low-resource setting, and find improvements of over 10% absolute accuracy in some cases.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Statistical morphological inflectors are typically trained on fully supervised, type-level data. One remaining open research question is the following: How can we effectively exploit raw, token-level data to improve their performance? To this end, we introduce a novel generative latent-variable model for the semi-supervised learning of inflection generation. To enable posterior inference over the latent variables, we derive an efficient variational inference procedure based on the wake-sleep algorithm. We experiment on 23 languages, using the Universal Dependencies corpora in a simulated low-resource setting, and find improvements of over 10% absolute accuracy in some cases. |
Lin, Chu-Cheng; Eisner, Jason Neural Particle Smoothing for Sampling from
Conditional Sequence Models Inproceedings Proceedings of the 2018 Conference of the North
American Chapter of the Association for Computational
Linguistics: Human Language Technologies (NAACL-HLT), pp. 929–941, New Orleans, 2018. Links | BibTeX @inproceedings{lin-eisner-2018-naacl,
title = {Neural Particle Smoothing for Sampling from
Conditional Sequence Models},
author = {Chu-Cheng Lin and Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#lin-eisner-2018-naacl},
year = {2018},
date = {2018-06-01},
booktitle = {Proceedings of the 2018 Conference of the North
American Chapter of the Association for Computational
Linguistics: Human Language Technologies (NAACL-HLT)},
pages = {929--941},
address = {New Orleans},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cotterell, Ryan; Kirov, Christo; Mielke, Sebastian J; Eisner, Jason Unsupervised Disambiguation of Syncretism in Inflected Lexicons Inproceedings Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pp. 548–553, Association for Computational Linguistics, New Orleans, Louisiana, 2018. Abstract | Links | BibTeX @inproceedings{cotterell-EtAl:2018:N18-22,
title = {Unsupervised Disambiguation of Syncretism in Inflected Lexicons},
author = {Ryan Cotterell and Christo Kirov and Sebastian J Mielke and Jason Eisner},
url = {http://www.aclweb.org/anthology/N18-2087},
year = {2018},
date = {2018-06-01},
booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
pages = {548--553},
publisher = {Association for Computational Linguistics},
address = {New Orleans, Louisiana},
abstract = {Lexical ambiguity makes it difficult to compute useful statistics of a corpus. A given word form might represent any of several morphological feature bundles. One can, however, use unsupervised learning (as in EM) to fit a model that probabilistically disambiguates word forms. We present such an approach, which employs a neural network to smoothly model a prior distribution over feature bundles (even rare ones). Although this basic model does not consider a token’s context, that very property allows it to operate on a simple list of unigram type counts, partitioning each count among different analyses of that unigram. We discuss evaluation metrics for this novel task and report results on 5 languages.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lexical ambiguity makes it difficult to compute useful statistics of a corpus. A given word form might represent any of several morphological feature bundles. One can, however, use unsupervised learning (as in EM) to fit a model that probabilistically disambiguates word forms. We present such an approach, which employs a neural network to smoothly model a prior distribution over feature bundles (even rare ones). Although this basic model does not consider a token’s context, that very property allows it to operate on a simple list of unigram type counts, partitioning each count among different analyses of that unigram. We discuss evaluation metrics for this novel task and report results on 5 languages. |
Cotterell, Ryan; Mielke, Sebastian J; Eisner, Jason; Roark, Brian Are All Languages Equally Hard to Language-Model? Inproceedings Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pp. 536–541, Association for Computational Linguistics, New Orleans, Louisiana, 2018. Abstract | Links | BibTeX @inproceedings{cotterell-EtAl:2018:N18-21,
title = {Are All Languages Equally Hard to Language-Model?},
author = {Ryan Cotterell and Sebastian J Mielke and Jason Eisner and Brian Roark},
url = {http://www.aclweb.org/anthology/N18-2085},
year = {2018},
date = {2018-06-01},
booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
pages = {536--541},
publisher = {Association for Computational Linguistics},
address = {New Orleans, Louisiana},
abstract = {For general modeling methods applied to diverse languages, a natural question is: how well should we expect our models to work on languages with differing typological profiles? In this work, we develop an evaluation framework for fair cross-linguistic comparison of language models, using translated text so that all models are asked to predict approximately the same information. We then conduct a study on 21 languages, demonstrating that in some languages, the textual expression of the information is harder to predict with both n-gram and LSTM language models. We show complex inflectional morphology to be a cause of performance differences among languages.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
For general modeling methods applied to diverse languages, a natural question is: how well should we expect our models to work on languages with differing typological profiles? In this work, we develop an evaluation framework for fair cross-linguistic comparison of language models, using translated text so that all models are asked to predict approximately the same information. We then conduct a study on 21 languages, demonstrating that in some languages, the textual expression of the information is harder to predict with both n-gram and LSTM language models. We show complex inflectional morphology to be a cause of performance differences among languages. |
Kirov, Christo; Cotterell, Ryan; Sylak-Glassman, John; Walther, Géraldine; Vylomova, Ekaterina; Xia, Patrick; Faruqui, Manaal; Mielke, Sebastian; McCarthy, Arya D; Kübler, Sandra; Yarowsky, David; Eisner, Jason; Hulden, Mans UniMorph 2.0: Universal Morphology Inproceedings chair), Nicoletta Calzolari (Conference; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Hasida, Koiti; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios; Tokunaga, Takenobu (Ed.): Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA), Miyazaki, Japan, 2018, ISBN: 979-10-95546-00-9. BibTeX @inproceedings{KIROV18.789,
title = {UniMorph 2.0: Universal Morphology},
author = {Christo Kirov and Ryan Cotterell and John Sylak-Glassman and Géraldine Walther and Ekaterina Vylomova and Patrick Xia and Manaal Faruqui and Sebastian Mielke and Arya D McCarthy and Sandra Kübler and David Yarowsky and Jason Eisner and Mans Hulden},
editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
isbn = {979-10-95546-00-9},
year = {2018},
date = {2018-05-01},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
publisher = {European Language Resources Association (ELRA)},
address = {Miyazaki, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Xu, Hainan; Li, Ke; Wang, Yiming; Wang, Jian; Kang, Shiyin; Chen, Xie; Povey, Daniel; Khudanpur, Sanjeev NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING Journal Article 2018. BibTeX @article{xuneural,
title = {NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING},
author = {Hainan Xu and Ke Li and Yiming Wang and Jian Wang and Shiyin Kang and Xie Chen and Daniel Povey and Sanjeev Khudanpur},
year = {2018},
date = {2018-04-15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Settle, S; Roux, J L; Hori, T; Watanabe, S; Hershey, J R End-to-End Multi-Speaker Speech Recognition Inproceedings 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4819-4823, 2018, ISSN: 2379-190X. Links | BibTeX @inproceedings{8461893,
title = {End-to-End Multi-Speaker Speech Recognition},
author = {S Settle and J L Roux and T Hori and S Watanabe and J R Hershey},
doi = {10.1109/ICASSP.2018.8461893},
issn = {2379-190X},
year = {2018},
date = {2018-04-01},
booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {4819-4823},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Seki, H; Watanabe, S; Hori, T; Roux, J L; Hershey, J R An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech Inproceedings 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4919-4923, 2018, ISSN: 2379-190X. Links | BibTeX @inproceedings{8462180,
title = {An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech},
author = {H Seki and S Watanabe and T Hori and J L Roux and J R Hershey},
doi = {10.1109/ICASSP.2018.8462180},
issn = {2379-190X},
year = {2018},
date = {2018-04-01},
booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {4919-4923},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ochiai, T; Watanabe, S; Katagiri, S; Hori, T; Hershey, J Speaker Adaptation for Multichannel End-to-End Speech Recognition Inproceedings 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6707-6711, 2018, ISSN: 2379-190X. Links | BibTeX @inproceedings{8462161,
title = {Speaker Adaptation for Multichannel End-to-End Speech Recognition},
author = {T Ochiai and S Watanabe and S Katagiri and T Hori and J Hershey},
doi = {10.1109/ICASSP.2018.8462161},
issn = {2379-190X},
year = {2018},
date = {2018-04-01},
booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {6707-6711},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marvin, Rebecca; title of Koehn, Philipp} {Exploring Word Sense Disambiguation Abilities Neural Machine Translation Systems (Non-archival Extended Abstract) = Inproceedings Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Papers), pp. 125–131, Association for Machine Translation in the Americas, Boston, MA, 2018. Links | BibTeX @inproceedings{Marvin-Koehn:2018:AMTA,
author = {Rebecca Marvin and Philipp} {Exploring Word Sense Disambiguation Abilities Neural Machine Translation Systems (Non-archival Extended Abstract) = title of Koehn},
url = {http://www.aclweb.org/anthology/W18-1812},
year = {2018},
date = {2018-03-01},
booktitle = {Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Papers)},
pages = {125--131},
publisher = {Association for Machine Translation in the Americas},
address = {Boston, MA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Knowles, Rebecca; title for Koehn, Philipp} {Lightweight Word-Level Confidence Estimation Neural Interactive Translation Prediction = Inproceedings Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing, pp. 35–40, Association for Machine Translation in the Americas, Boston, MA, 2018. Links | BibTeX @inproceedings{Knowles-Koehn:2018:AMTA,
author = {Rebecca Knowles and Philipp} {Lightweight Word-Level Confidence Estimation Neural Interactive Translation Prediction = title for Koehn},
url = {http://www.aclweb.org/anthology/W18-2102},
year = {2018},
date = {2018-03-01},
booktitle = {Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing},
pages = {35--40},
publisher = {Association for Machine Translation in the Americas},
address = {Boston, MA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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|
Knowles, Rebecca; Ortega, John; title of for in Koeh, Philipp} Comparison Machine Translation Paradigms Use Black-Box Fuzzy-Match Repair = {A Inproceedings Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing, pp. 249–255, Association for Machine Translation in the Americas, Boston, MA, 2018. Links | BibTeX @inproceedings{Knowles-Ortega-Koeh:2018:AMTA,
author = {Rebecca Knowles and John Ortega and Philipp} Comparison Machine Translation Paradigms Use Black-Box Fuzzy-Match Repair = {A title of for in Koeh},
url = {http://www.aclweb.org/anthology/W18-2108},
year = {2018},
date = {2018-03-01},
booktitle = {Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing},
pages = {249--255},
publisher = {Association for Machine Translation in the Americas},
address = {Boston, MA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karita, Shigeki; Watanabe, Shinji; Iwata, Tomoharu; Ogawa, Atsunori; Delcroix, Marc Semi-Supervised End-to-End Speech Recognition Inproceedings Proc. Interspeech 2018, pp. 2–6, 2018. Links | BibTeX @inproceedings{Karita2018,
title = {Semi-Supervised End-to-End Speech Recognition},
author = {Shigeki Karita and Shinji Watanabe and Tomoharu Iwata and Atsunori Ogawa and Marc Delcroix},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1746},
doi = {10.21437/Interspeech.2018-1746},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2--6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cheng, Gaofeng; Povey, Daniel; Huang, Lu; Xu, Ji; Khudanpur, Sanjeev; Yan, Yonghong Output-Gate Projected Gated Recurrent Unit for Speech Recognition Journal Article Proc. Interspeech 2018, pp. 1793–1797, 2018. BibTeX @article{cheng2018output,
title = {Output-Gate Projected Gated Recurrent Unit for Speech Recognition},
author = {Gaofeng Cheng and Daniel Povey and Lu Huang and Ji Xu and Sanjeev Khudanpur and Yonghong Yan},
year = {2018},
date = {2018-01-01},
journal = {Proc. Interspeech 2018},
pages = {1793--1797},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Subramanian, Aswin Shanmugam; Chen, Szu-Jui; Watanabe, Shinji Student-Teacher Learning for BLSTM Mask-based Speech Enhancement Inproceedings Proc. Interspeech 2018, pp. 3249–3253, 2018. Links | BibTeX @inproceedings{Subramanian2018,
title = {Student-Teacher Learning for BLSTM Mask-based Speech Enhancement},
author = {Aswin Shanmugam Subramanian and Szu-Jui Chen and Shinji Watanabe},
url = {http://dx.doi.org/10.21437/Interspeech.2018-2440},
doi = {10.21437/Interspeech.2018-2440},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {3249--3253},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hayashi, Tomoki; Watanabe, Shinji; Toda, Tomoki; Takeda, Kazuya Multi-Head Decoder for End-to-End Speech Recognition Inproceedings Proc. Interspeech 2018, pp. 801–805, 2018. Links | BibTeX @inproceedings{Hayashi2018,
title = {Multi-Head Decoder for End-to-End Speech Recognition},
author = {Tomoki Hayashi and Shinji Watanabe and Tomoki Toda and Kazuya Takeda},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1655},
doi = {10.21437/Interspeech.2018-1655},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {801--805},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Snyder, D; Garcia-Romero, D; Sell, G; Povey, D; Khudanpur, S X-vectors: Robust DNN Embeddings for Speaker Recognition Inproceedings 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE 2018. Links | BibTeX @inproceedings{snyder2018xvector,
title = {X-vectors: Robust DNN Embeddings for Speaker Recognition},
author = {D Snyder and D Garcia-Romero and G Sell and D Povey and S Khudanpur},
url = {http://www.danielpovey.com/files/2018_icassp_xvectors.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barker, Jon; Watanabe, Shinji; Vincent, Emmanuel; Trmal, Jan The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines Inproceedings Proc. Interspeech 2018, pp. 1561–1565, 2018. Links | BibTeX @inproceedings{Barker2018,
title = {The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines},
author = {Jon Barker and Shinji Watanabe and Emmanuel Vincent and Jan Trmal},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1768},
doi = {10.21437/Interspeech.2018-1768},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {1561--1565},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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. Links | BibTeX @inproceedings{snyder2018spokenb,
title = {Spoken language recognition using x-vectors},
author = {David Snyder and Daniel Garcia-Romero and Alan McCree and Gregory Sell and Daniel Povey and Sanjeev Khudanpur},
url = {http://www.danielpovey.com/files/2018_odyssey_xvector_lid.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Odyssey: The Speaker and Language Recognition Workshop, Les Sables d’Olonne},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Chen, Szu-Jui; Subramanian, Aswin Shanmugam; Xu, Hainan; Watanabe, Shinji Building State-of-the-art Distant Speech Recognition Using the CHiME-4 Challenge with a Setup of Speech Enhancement Baseline Inproceedings Proc. Interspeech 2018, pp. 1571–1575, 2018. Links | BibTeX @inproceedings{Chen2018b,
title = {Building State-of-the-art Distant Speech Recognition Using the CHiME-4 Challenge with a Setup of Speech Enhancement Baseline},
author = {Szu-Jui Chen and Aswin Shanmugam Subramanian and Hainan Xu and Shinji Watanabe},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1262},
doi = {10.21437/Interspeech.2018-1262},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {1571--1575},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sell, Gregory; Snyder, David; McCree, Alan; Garcia-Romero, Daniel; Villalba, Jesús; Maciejewski, Matthew; Manohar, Vimal; Dehak, Najim; Povey, Daniel; Watanabe, Shinji; Khudanpur, Sanjeev Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Inproceedings Proc. Interspeech 2018, pp. 2808–2812, 2018. Links | BibTeX @inproceedings{Sell2018b,
title = {Diarization is Hard: Some 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 Jesús Villalba and Matthew Maciejewski and Vimal Manohar and Najim Dehak and Daniel Povey and Shinji Watanabe and Sanjeev Khudanpur},
url = {http://www.danielpovey.com/files/2018_interspeech_dihard.pdf},
doi = {10.21437/Interspeech.2018-1893},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2808--2812},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Frederiksen, Peter Sibbern; Villalba, Jesús; Watanabe, Shinji; Tan, Zheng-Hua; Dehak, Najim Effectiveness of Single-Channel BLSTM Enhancement for Language Identification Inproceedings Proc. Interspeech 2018, pp. 1823–1827, 2018. Links | BibTeX @inproceedings{Frederiksen2018,
title = {Effectiveness of Single-Channel BLSTM Enhancement for Language Identification},
author = {Peter Sibbern Frederiksen and Jesús Villalba and Shinji Watanabe and Zheng-Hua Tan and Najim Dehak},
url = {http://dx.doi.org/10.21437/Interspeech.2018-2458},
doi = {10.21437/Interspeech.2018-2458},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {1823--1827},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Silnova, Anna; Brümmer, Niko; Garcia-Romero, Daniel; Snyder, David; Burget, Lukáš Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors Inproceedings Proc. Interspeech 2018, pp. 72–76, 2018. Links | BibTeX @inproceedings{Silnova2018,
title = {Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors},
author = {Anna Silnova and Niko Brümmer and Daniel Garcia-Romero and David Snyder and Lukáš Burget},
url = {http://dx.doi.org/10.21437/Interspeech.2018-2128},
doi = {10.21437/Interspeech.2018-2128},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {72--76},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Watanabe, Shinji; Hori, Takaaki; Karita, Shigeki; Hayashi, Tomoki; Nishitoba, Jiro; Unno, Yuya; Soplin, Nelson Enrique Yalta; Heymann, Jahn; Wiesner, Matthew; Chen, Nanxin; Renduchintala, Adithya; Ochiai, Tsubasa ESPnet: End-to-End Speech Processing Toolkit Inproceedings Proc. Interspeech 2018, pp. 2207–2211, 2018. Links | BibTeX @inproceedings{Watanabe2018,
title = {ESPnet: End-to-End Speech Processing Toolkit},
author = {Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Enrique Yalta Soplin and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1456},
doi = {10.21437/Interspeech.2018-1456},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2207--2211},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zhu, Yingke; Ko, Tom; Snyder, David; Mak, Brian; Povey, Daniel Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification Inproceedings Proc. Interspeech 2018, pp. 3573–3577, 2018. Links | BibTeX @inproceedings{Zhu2018b,
title = {Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification},
author = {Yingke Zhu and Tom Ko and David Snyder and Brian Mak and Daniel Povey},
url = {http://www.danielpovey.com/files/2018_interspeech_xvector_attention.pdf},
doi = {10.21437/Interspeech.2018-1158},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {3573--3577},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Renduchintala, Adithya; Ding, Shuoyang; Wiesner, Matthew; Watanabe, Shinji Multi-Modal Data Augmentation for End-to-end ASR Inproceedings Proc. Interspeech 2018, pp. 2394–2398, 2018. Links | BibTeX @inproceedings{Renduchintala2018,
title = {Multi-Modal Data Augmentation for End-to-end ASR},
author = {Adithya Renduchintala and Shuoyang Ding and Matthew Wiesner and Shinji Watanabe},
url = {http://dx.doi.org/10.21437/Interspeech.2018-2456},
doi = {10.21437/Interspeech.2018-2456},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2394--2398},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sell, Gregory; Duh, Kevin; Snyder, David; Etter, Dave; Garcia-Romero, Daniel Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program Inproceedings 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3031–3035, IEEE 2018. BibTeX @inproceedings{sell2018audio,
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},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {3031--3035},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delcroix, Marc; Watanabe, Shinji; Ogawa, Atsunori; Karita, Shigeki; Nakatani, Tomohiro Auxiliary Feature Based Adaptation of End-to-end ASR Systems Inproceedings Proc. Interspeech 2018, pp. 2444–2448, 2018. Links | BibTeX @inproceedings{Delcroix2018,
title = {Auxiliary Feature Based Adaptation of End-to-end ASR Systems},
author = {Marc Delcroix and Shinji Watanabe and Atsunori Ogawa and Shigeki Karita and Tomohiro Nakatani},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1438},
doi = {10.21437/Interspeech.2018-1438},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2444--2448},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mccree, Alan; Snyder, David; Sell, Gregory; Garcia-Romero, Daniel Language Recognition for Telephone and Video Speech: The JHU HLTCOE Submission for NIST LRE17 Inproceedings Proc. Odyssey 2018 The Speaker and Language Recognition Workshop, pp. 68–73, 2018. BibTeX @inproceedings{mccree2018language,
title = {Language Recognition for Telephone and Video Speech: The JHU HLTCOE Submission for NIST LRE17},
author = {Alan Mccree and David Snyder and Gregory Sell and Daniel Garcia-Romero},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Odyssey 2018 The Speaker and Language Recognition Workshop},
pages = {68--73},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sell, Gregory; Snyder, David; McCree, Alan; Garcia-Romero, Daniel; Villalba, Jesús; Maciejewski, Matthew; Manohar, Vimal; Dehak, Najim; Povey, Daniel; Watanabe, Shinji; Khudanpur, Sanjeev Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Inproceedings Proc. Interspeech 2018, pp. 2808–2812, 2018. Links | BibTeX @inproceedings{Sell2018d,
title = {Diarization is Hard: Some 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 Jesús Villalba and Matthew Maciejewski and Vimal Manohar and Najim Dehak and Daniel Povey and Shinji Watanabe and Sanjeev Khudanpur},
url = {http://dx.doi.org/10.21437/Interspeech.2018-1893},
doi = {10.21437/Interspeech.2018-1893},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {2808--2812},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Subramanian, Aswin Shanmugam; Chen, Szu-Jui; Watanabe, Shinji Student-Teacher Learning for BLSTM Mask-based Speech Enhancement Inproceedings Proc. Interspeech 2018, pp. 3249–3253, 2018. Links | BibTeX @inproceedings{Subramanian2018b,
title = {Student-Teacher Learning for BLSTM Mask-based Speech Enhancement},
author = {Aswin Shanmugam Subramanian and Szu-Jui Chen and Shinji Watanabe},
url = {http://dx.doi.org/10.21437/Interspeech.2018-2440},
doi = {10.21437/Interspeech.2018-2440},
year = {2018},
date = {2018-01-01},
booktitle = {Proc. Interspeech 2018},
pages = {3249--3253},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
McCarthy, Arya D; Silfverberg, Miikka; Cotterell, Ryan; Hulden, Mans; Yarowsky, David Marrying Universal Dependencies and Universal Morphology Inproceedings Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pp. 91–101, Brussels, Belgium, 2018. Links | BibTeX @inproceedings{W18-6011,
title = {Marrying Universal Dependencies and Universal Morphology},
author = {Arya D McCarthy and Miikka Silfverberg and Ryan Cotterell and Mans Hulden and David Yarowsky},
url = {http://aclweb.org/anthology/W18-6011},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)},
pages = {91--101},
address = {Brussels, Belgium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wang, Dingquan; Eisner, Jason Synthetic Data Made to Order: The Case of Parsing Inproceedings Proceedings of the Conference on Empirical Methods in
Natural Language Processing (EMNLP), Brussels, 2018. Links | BibTeX @inproceedings{wang-eisner-2018-emnlp,
title = {Synthetic Data Made to Order: The Case of Parsing},
author = {Dingquan Wang and Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#wang-eisner-2018-emnlp},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the Conference on Empirical Methods in
Natural Language Processing (EMNLP)},
address = {Brussels},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Eisner, Jason Discrete Latent Variables in NLP: Good, Bad, and
Indifferent Miscellaneous Invited talk at ACL Workshop on Relevance of
Linguistic Structure in Neural Architectures for NLP, 2018. Links | BibTeX @misc{eisner-2018-relsnnlp,
title = {Discrete Latent Variables in NLP: Good, Bad, and
Indifferent},
author = {Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#eisner-2018-relsnnlp},
year = {2018},
date = {2018-01-01},
address = {Melbourne},
howpublished = {Invited talk at ACL Workshop on Relevance of
Linguistic Structure in Neural Architectures for NLP},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Mielke, Sebastian J; Eisner, Jason Spell Once, Summon Anywhere: A Two-Level
Open-Vocabulary Language Model Journal Article Computing Research Repository, 2018. Links | BibTeX @article{mielke-eisner-2018-arxiv,
title = {Spell Once, Summon Anywhere: A Two-Level
Open-Vocabulary Language Model},
author = {Sebastian J Mielke and Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#mielke-eisner-2018-arxiv},
year = {2018},
date = {2018-01-01},
journal = {Computing Research Repository},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Eisner, Jason; Filardo, Nathaniel Wesley Treating Machine Learning Algorithms as Declaratively
Specified Circuits Inproceedings Proceedings of the SysML Conference, Palo Alto, 2018. Links | BibTeX @inproceedings{filardo-eisner-2018-sysml,
title = {Treating Machine Learning Algorithms as Declaratively
Specified Circuits},
author = {Jason Eisner and Nathaniel Wesley Filardo},
url = {http://cs.jhu.edu/~jason/papers/#filardo-eisner-2018-sysml},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the SysML Conference},
address = {Palo Alto},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Eisner, Jason Probabilistically Modeling Surface Patterns Using
Latent Structure Miscellaneous Invited talk at the 1st Annual Meeting of the Society
for Computation in Linguistics (SCiL), 2018. Links | BibTeX @misc{eisner-2018-scil,
title = {Probabilistically Modeling Surface Patterns Using
Latent Structure},
author = {Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#eisner-2018-scil},
year = {2018},
date = {2018-01-01},
address = {Salt Lake City},
howpublished = {Invited talk at the 1st Annual Meeting of the Society
for Computation in Linguistics (SCiL)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Wang, Dingquan; Eisner, Jason Predicting Fine-Grained Syntactic Typology from
Surface Features Inproceedings Proceedings of the Society for Computation in
Linguistics (SCiL), Salt Lake City, 2018. Links | BibTeX @inproceedings{wang-eisner-2018-scil,
title = {Predicting Fine-Grained Syntactic Typology from
Surface Features},
author = {Dingquan Wang and Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#wang-eisner-2018-scil},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the Society for Computation in
Linguistics (SCiL)},
volume = {1},
number = {39},
address = {Salt Lake City},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
