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ORCIDWael Hamza
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2020 – today
- 2024
[c40]Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-Yi Lee, Ariya Rastrow, Andreas Stolcke:
Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP 2024: 12856-12860- [i24]Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-yi Lee, Ariya Rastrow, Andreas Stolcke:
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR abs/2401.02921 (2024) - 2023
- [c39]Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza:
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. ACL (Findings) 2023: 9380-9394 - [c38]Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum:
Low-Resource Compositional Semantic Parsing with Concept Pretraining. EACL 2023: 1402-1411 - [c37]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) 2023: 390-400 - [i23]Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum:
Low-Resource Compositional Semantic Parsing with Concept Pretraining. CoRR abs/2301.09809 (2023) - [i22]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR abs/2304.02080 (2023) - [i21]Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza:
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. CoRR abs/2306.08756 (2023) - 2022
- [c36]Andy Rosenbaum, Saleh Soltan, Wael Hamza, Yannick Versley, Markus Boese:
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging. COLING 2022: 218-241 - [c35]Saleh Soltan, Victor Soto, Ke Tran, Wael Hamza:
A Hybrid Approach to Cross-lingual Product Review Summarization. EMNLP (Industry Track) 2022: 18-28 - [c34]Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza:
Training Naturalized Semantic Parsers with Very Little Data. IJCAI 2022: 4353-4359 - [c33]Andy Rosenbaum, Saleh Soltan, Wael Hamza, Marco Damonte, Isabel Groves, Amir Saffari:
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. AACL/IJCNLP (2) 2022: 444-462 - [c32]Nikko Strom, Haidar Khan, Wael Hamza:
Squashed Weight Distribution for Low Bit Quantization of Deep Models. INTERSPEECH 2022: 3953-3957 - [c31]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi
, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - [c30]Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza:
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) 2022: 54-61 - [c29]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. NAACL-HLT (Findings) 2022: 594-603 - [c28]Jin Cao, Chandana Satya Prakash, Wael Hamza:
Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU. NAACL-HLT (Findings) 2022: 857-866 - [i20]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. CoRR abs/2204.13796 (2022) - [i19]Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza:
Training Naturalized Semantic Parsers with Very Little Data. CoRR abs/2204.14243 (2022) - [i18]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - [i17]Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan:
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR abs/2208.01448 (2022) - [i16]Andy Rosenbaum, Saleh Soltan, Wael Hamza, Yannick Versley, Markus Boese:
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging. CoRR abs/2209.09900 (2022) - [i15]Andy Rosenbaum, Saleh Soltan, Wael Hamza, Amir Saffari, Marco Damonte, Isabel Groves:
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. CoRR abs/2210.07074 (2022) - 2021
- [c27]Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. AAAI 2021: 13754-13761 - [c26]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. EACL 2021: 1063-1074 - [c25]Saleh Soltan, Haidar Khan, Wael Hamza:
Limitations of Knowledge Distillation for Zero-shot Transfer Learning. SustaiNLP@EMNLP 2021: 22-31 - [c24]Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su:
ASR N-Best Fusion Nets. ICASSP 2021: 7618-7622 - [c23]Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su:
Contextual Domain Classification with Temporal Representations. NAACL-HLT (Industry Papers) 2021: 41-48 - [i14]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. CoRR abs/2101.08333 (2021) - 2020
- [c22]Boya Yu, Konstantine Arkoudas, Wael Hamza:
Delexicalized Paraphrase Generation. COLING (Industry) 2020: 102-112 - [c21]Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su:
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. COLING (Industry) 2020: 113-123 - [c20]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoNLL 2020: 496-506 - [c19]Jin Cao, Jun Wang, Wael Hamza, Kelly Vanee, Shang-Wen Li:
Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding. INTERSPEECH 2020: 1570-1574 - [c18]Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza:
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. WWW 2020: 2962-2968 - [i13]Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su:
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. CoRR abs/2001.05284 (2020) - [i12]Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza:
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. CoRR abs/2001.11458 (2020) - [i11]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoRR abs/2010.03714 (2020) - [i10]Jin Cao, Jun Wang, Wael Hamza, Kelly Vanee, Shang-Wen Li:
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding. CoRR abs/2010.04355 (2020) - [i9]Boya Yu, Konstantine Arkoudas, Wael Hamza:
Delexicalized Paraphrase Generation. CoRR abs/2012.02763 (2020) - [i8]Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. CoRR abs/2012.08549 (2020)
2010 – 2019
- 2018
- [c17]Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza:
Neural Cross-Lingual Entity Linking. AAAI 2018: 5464-5472 - [c16]Gourab Kundu, Avirup Sil, Radu Florian, Wael Hamza:
Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking. ACL (2) 2018: 395-400 - [c15]Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, Daniel Gildea:
Leveraging Context Information for Natural Question Generation. NAACL-HLT (2) 2018: 569-574 - [i7]Gourab Kundu, Avirup Sil, Radu Florian, Wael Hamza:
Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking. CoRR abs/1806.10201 (2018) - 2017
- [c14]Zhiguo Wang, Wael Hamza, Radu Florian:
Bilateral Multi-Perspective Matching for Natural Language Sentences. IJCAI 2017: 4144-4150 - [i6]Zhiguo Wang, Wael Hamza, Radu Florian:
Bilateral Multi-Perspective Matching for Natural Language Sentences. CoRR abs/1702.03814 (2017) - [i5]Georgiana Dinu, Wael Hamza, Radu Florian:
Reinforcement Learning for Transition-Based Mention Detection. CoRR abs/1703.04489 (2017) - [i4]Zhiguo Wang, Wael Hamza, Linfeng Song:
k-Nearest Neighbor Augmented Neural Networks for Text Classification. CoRR abs/1708.07863 (2017) - [i3]Linfeng Song, Zhiguo Wang, Wael Hamza:
A Unified Query-based Generative Model for Question Generation and Question Answering. CoRR abs/1709.01058 (2017) - [i2]Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza:
Neural Cross-Lingual Entity Linking. CoRR abs/1712.01813 (2017) - 2016
- [i1]Zhiguo Wang, Haitao Mi, Wael Hamza, Radu Florian:
Multi-Perspective Context Matching for Machine Comprehension. CoRR abs/1612.04211 (2016)
2000 – 2009
- 2006
- [j1]John F. Pitrelli, Raimo Bakis, Ellen Eide, Raul Fernandez, Wael Hamza, Michael A. Picheny:
The IBM expressive text-to-speech synthesis system for American English. IEEE Trans. Speech Audio Process. 14(4): 1099-1108 (2006) - [c13]Ellen Eide, Raul Fernandez, Ron Hoory, Wael Hamza, Zvi Kons, Michael Picheny, Ariel Sagi, Slava Shechtman, Zhiwei Shuang:
The IBM Submission to the 2006 Blizzard Text-to-Speech Challenge. Blizzard Challenge 2006 - 2005
- [c12]Wael Hamza, Raimo Bakis, Zhiwei Shuang, Heiga Zen:
On building a concatenative speech synthesis system from the blizzard challenge speech databases. INTERSPEECH 2005: 97-100 - [c11]Raul Fernandez, Wei Zhang, Ellen Eide, Raimo Bakis, Wael Hamza, Yi Liu, Michael Picheny, John F. Pitrelli, Yong Qing, Zhiwei Shuang, Li Qin Shen:
Toward multiple-language TTS: experiments in English and Mandarin. INTERSPEECH 2005: 1473-1476 - [c10]Wael Hamza, John F. Pitrelli:
Combining the flexibility of speech synthesis with the naturalness of pre-recorded audio: a comparison of two approaches to phrase-splicing TTS. INTERSPEECH 2005: 2585-2588 - 2004
- [c9]Wael Hamza, Ellen Eide, Raimo Bakis:
Reconciling pronunciation differences between the front-end and the back-end in the IBM speech synthesis system. INTERSPEECH 2004: 2561-2564 - [c8]Wael Hamza, Ellen Eide, Raimo Bakis, Michael Picheny, John F. Pitrelli:
The IBM expressive speech synthesis system. INTERSPEECH 2004: 2577-2580 - [c7]Ellen Eide, Andrew Aaron, Raimo Bakis, Wael Hamza, Michael A. Picheny, John F. Pitrelli:
A corpus-based approach to expressive speech synthesis. SSW 2004: 79-84 - 2003
- [c6]Ellen Eide, Andrew Aaron, Raimo Bakis, Paul S. Cohen, Robert E. Donovan, Wael Hamza, T. Mathes, Michael Picheny, M. Polkosky, M. Smith, Mahesh Viswanathan:
Recent improvements to the IBM trainable speech synthesis system. ICASSP (1) 2003: 708-711 - [c5]Ellen Eide, Raimo Bakis, Wael Hamza, John F. Pitrelli:
Multilayered extensions to the speech synthesis markup language for describing expressiveness. INTERSPEECH 2003: 1645-1648 - 2002
- [c4]Wael Hamza, Robert E. Donovan:
Data-driven segment preselection in the IBM trainable speech synthesis system. INTERSPEECH 2002: 2609-2612 - 2001
- [c3]Wael Hamza, Mohsen A. Rashwan, Mohamed Afify:
Quantitative method for modeling context in concatenative synthesis using large speech database. ICASSP 2001: 789-792 - [c2]Robert E. Donovan, Abraham Ittycheriah, Martin Franz, Bhuvana Ramabhadran, Ellen Eide, Mahesh Viswanathan, Raimo Bakis, Wael Hamza, Michael A. Picheny, P. Gleason, T. Rutherfoord, P. Cox, D. Green, Eric Janke, S. Revelin, Claire Waast, B. Zeller, C. Guenther, J. Kunzmann:
Current status of the IBM Trainable Speech Synthesis System. SSW 2001: 207 - 2000
- [c1]Wael Hamza, Mohsen A. Rashwan:
Concatenative arabic speech synthesis using large speech database. INTERSPEECH 2000: 182-185
Coauthor Index
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