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Paul Vozila
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2020 – today
- 2023
- [c18]Gagandeep Singh, Yue Pan, Jesús Andrés-Ferrer, Miguel A. del Agua, Frank Diehl, Joel Pinto, Paul Vozila:
Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations. ClinicalNLP@ACL 2023: 138-143 - 2022
- [i3]Jesús Andrés-Ferrer, Dario Albesano, Puming Zhan, Paul Vozila:
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems. CoRR abs/2206.14623 (2022) - 2021
- [c17]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. FLAIRS 2021 - [c16]Jesús Andrés-Ferrer, Dario Albesano, Puming Zhan, Paul Vozila:
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems. Interspeech 2021: 2007-2011 - [i2]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. CoRR abs/2105.09235 (2021)
2010 – 2019
- 2019
- [c15]Jen-Tang Lu, Rupert Brooks
, Stefan Hahn, Jin Chen, Varun Buch
, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra
, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz
:
DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning. MICCAI (2) 2019: 723-731 - [i1]Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz:
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning. CoRR abs/1907.02567 (2019) - 2018
- [c14]Jesús Andrés-Ferrer, Nathan Bodenstab, Paul Vozila:
Efficient Language Model Adaptation with Noise Contrastive Estimation and Kullback-Leibler Regularization. INTERSPEECH 2018: 3368-3372 - [c13]Marilisa Amoia, Frank Diehl, Jesús Giménez, Joel Pinto, Raphael Schumann, Fabian Stemmer, Paul Vozila, Yi Zhang:
Scalable Wide and Deep Learning for Computer Assisted Coding. NAACL-HLT (3) 2018: 1-7 - 2014
- [c12]Fan Yang, Paul Vozila:
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields. EMNLP 2014: 90-98 - [c11]Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadran, Paul Vozila:
Static interpolation of exponential n-gram models using features of features. ICASSP 2014: 4878-4882 - 2013
- [c10]Abhinav Sethy, Stanley F. Chen, Ebru Arisoy, Bhuvana Ramabhadran, Kartik Audhkhasi, Shrikanth S. Narayanan, Paul Vozila:
Joint training of interpolated exponential n-gram models. ASRU 2013: 25-30 - [c9]Fan Yang, Paul Vozila:
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training. EMNLP 2013: 1191-1200 - [c8]Nicola Ueffing, Maximilian Bisani, Paul Vozila:
Improved models for automatic punctuation prediction for spoken and written text. INTERSPEECH 2013: 3097-3101 - 2012
- [c7]Yik-Cheung Tam, Paul Vozila:
A Hierarchical Bayesian Approach for Semi-supervised Discriminative Language Modeling. INTERSPEECH 2012: 186-189 - [c6]Hong-Kwang Kuo, Ebru Arisoy, Ahmad Emami, Paul Vozila:
Large Scale Hierarchical Neural Network Language Models. INTERSPEECH 2012: 1672-1675 - [c5]Stefan Hahn, Paul Vozila, Maximilian Bisani:
Comparison of Grapheme-to-Phoneme Methods on Large Pronunciation Dictionaries and LVCSR Tasks. INTERSPEECH 2012: 2538-2541 - 2011
- [c4]Jonathan Mamou, Abhinav Sethy, Bhuvana Ramabhadran, Ron Hoory, Paul Vozila:
Improved Spoken Query Transcription Using Co-Occurrence Information. INTERSPEECH 2011: 1473-1476 - [c3]Yik-Cheung Tam, Paul Vozila:
Unsupervised Latent Speaker Language Modeling. INTERSPEECH 2011: 1477-1480
2000 – 2009
- 2008
- [c2]Maximilian Bisani, Paul Vozila, Olivier Divay, Jeff Adams:
Automatic Editing in a Back-End Speech-to-Text System. ACL 2008: 114-120 - 2003
- [c1]Paul Vozila, Jeff Adams, Yuliya Lobacheva, Ryan Thomas:
Grapheme to phoneme conversion and dictionary verification using graphonemes. INTERSPEECH 2003: 2469-2472
Coauthor Index
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