Concatenative arabic speech synthesis using large speech database. - Wael Hamza; Mohsen A. Rashwan (INTERSPEECH, 2000)

Quantitative method for modeling context in concatenative synthesis using large speech database. - Wael Hamza; Mohsen A. Rashwan; Mohamed Afify (ICASSP, 2001)

Current status of the IBM Trainable Speech Synthesis System. - Robert E. Donovan; Abraham Ittycheriah; Martin Franz; Bhuvana Ramabhadran; Ellen Eide; Mahesh Viswanathan 002; Raimo Bakis; Wael Hamza; Michael A. Picheny; P. Gleason; T. Rutherfoord; P. Cox; et al. (SSW, 2001)

Data-driven segment preselection in the IBM trainable speech synthesis system. - Wael Hamza; Robert E. Donovan (INTERSPEECH, 2002)

Recent improvements to the IBM trainable speech synthesis system. - Ellen Eide; Andrew Aaron; Raimo Bakis; Paul S. Cohen; Robert E. Donovan; Wael Hamza; T. Mathes; Michael Picheny; M. Polkosky; M. Smith; Mahesh Viswanathan 002 (ICASSP (1), 2003)

Multilayered extensions to the speech synthesis markup language for describing expressiveness. - Ellen Eide; Raimo Bakis; Wael Hamza; John F. Pitrelli (INTERSPEECH, 2003)

Reconciling pronunciation differences between the front-end and the back-end in the IBM speech synthesis system. - Wael Hamza; Ellen Eide; Raimo Bakis (INTERSPEECH, 2004)

The IBM expressive speech synthesis system. - Wael Hamza; Ellen Eide; Raimo Bakis; Michael Picheny; John F. Pitrelli (INTERSPEECH, 2004)

A corpus-based approach to expressive speech synthesis. - Ellen Eide; Andrew Aaron; Raimo Bakis; Wael Hamza; Michael A. Picheny; John F. Pitrelli (SSW, 2004)

Toward multiple-language TTS: experiments in English and Mandarin. - Raul Fernandez; Wei Zhang 022; Ellen Eide; Raimo Bakis; Wael Hamza; Yi Liu; Michael Picheny; John F. Pitrelli; Yong Qing; Zhiwei Shuang; Li Qin Shen (INTERSPEECH, 2005)

On building a concatenative speech synthesis system from the blizzard challenge speech databases. - Wael Hamza; Raimo Bakis; Zhiwei Shuang; Heiga Zen (INTERSPEECH, 2005)

Combining the flexibility of speech synthesis with the naturalness of pre-recorded audio: a comparison of two approaches to phrase-splicing TTS. - Wael Hamza; John F. Pitrelli (INTERSPEECH, 2005)

The IBM Submission to the 2006 Blizzard Text-to-Speech Challenge. - Ellen Eide; Raul Fernandez; Ron Hoory; Wael Hamza; Zvi Kons; Michael Picheny; Ariel Sagi; Slava Shechtman; Zhiwei Shuang (Blizzard Challenge, 2006)

The IBM expressive text-to-speech synthesis system for American English. - John F. Pitrelli; Raimo Bakis; Ellen Eide; Raul Fernandez; Wael Hamza; Michael A. Picheny (IEEE Trans. Speech Audio Process., 2006)

Multi-Perspective Context Matching for Machine Comprehension. - Zhiguo Wang; Haitao Mi; Wael Hamza; Radu Florian (CoRR, 2016)

Bilateral Multi-Perspective Matching for Natural Language Sentences. - Zhiguo Wang; Wael Hamza; Radu Florian (IJCAI, 2017)

Reinforcement Learning for Transition-Based Mention Detection. - Georgiana Dinu; Wael Hamza; Radu Florian (CoRR, 2017)

k-Nearest Neighbor Augmented Neural Networks for Text Classification. - Zhiguo Wang; Wael Hamza; Linfeng Song (CoRR, 2017)

A Unified Query-based Generative Model for Question Generation and Question Answering. - Linfeng Song; Zhiguo Wang; Wael Hamza (CoRR, 2017)

Neural Cross-Lingual Entity Linking. - Avirup Sil; Gourab Kundu; Radu Florian; Wael Hamza (AAAI, 2018)

Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking. - Gourab Kundu; Avirup Sil; Radu Florian; Wael Hamza (ACL (2), 2018)

Leveraging Context Information for Natural Question Generation. - Linfeng Song; Zhiguo Wang; Wael Hamza; Yue Zhang 004; Daniel Gildea (NAACL-HLT (2), 2018)

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. - Mingda Li; Xinyue Liu; Weitong Ruan; Luca Soldaini; Wael Hamza; Chengwei Su (COLING (Industry), 2020)

Delexicalized Paraphrase Generation. - Boya Yu; Konstantine Arkoudas; Wael Hamza (COLING (Industry), 2020)

Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. - Qile Zhu; Haidar Khan; Saleh Soltan; Stephen Rawls; Wael Hamza (CoNLL, 2020)

Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding. - Jin Cao 003; Jun Wang; Wael Hamza; Kelly Vanee; Shang-Wen Li 001 (INTERSPEECH, 2020)

Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. - Subendhu Rongali; Luca Soldaini; Emilio Monti; Wael Hamza (WWW, 2020)

Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. - Mingda Li; Weitong Ruan; Xinyue Liu; Luca Soldaini; Wael Hamza; Chengwei Su (CoRR, 2020)

Exploring Transfer Learning For End-to-End Spoken Language Understanding. - Subendhu Rongali; Beiye Liu; Liwei Cai; Konstantine Arkoudas; Chengwei Su; Wael Hamza (AAAI, 2021)

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. - Shuyang Li; Jin Cao 003; Mukund Sridhar; Henghui Zhu; Shang-Wen Li 001; Wael Hamza; Julian J. McAuley (EACL, 2021)

Limitations of Knowledge Distillation for Zero-shot Transfer Learning. - Saleh Soltan; Haidar Khan; Wael Hamza (SustaiNLP@EMNLP, 2021)

ASR N-Best Fusion Nets. - Xinyue Liu; Mingda Li; Luoxin Chen; Prashan Wanigasekara; Weitong Ruan; Haidar Khan; Wael Hamza; Chengwei Su (ICASSP, 2021)

Contextual Domain Classification with Temporal Representations. - Tzu-Hsiang Lin; Yipeng Shi; Chentao Ye; Yang Fan; Weitong Ruan; Emre Barut; Wael Hamza; Chengwei Su (NAACL-HLT (Industry Papers), 2021)

LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging. - Andy Rosenbaum; Saleh Soltan; Wael Hamza; Yannick Versley; Markus Boese (COLING, 2022)

A Hybrid Approach to Cross-lingual Product Review Summarization. - Saleh Soltan; Victor Soto; Ke Tran; Wael Hamza (EMNLP (Industry Track), 2022)

Training Naturalized Semantic Parsers with Very Little Data. - Subendhu Rongali; Konstantine Arkoudas; Melanie Rubino; Wael Hamza (IJCAI, 2022)

CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. - Andy Rosenbaum; Saleh Soltan; Wael Hamza; Marco Damonte; Isabel Groves; Amir Saffari (AACL/IJCNLP (2), 2022)

Squashed Weight Distribution for Low Bit Quantization of Deep Models. - Nikko Strom; Haidar Khan; Wael Hamza (INTERSPEECH, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 2022)

Controlled Data Generation via Insertion Operations for NLU. - Manoj Kumar 007; Yuval Merhav; Haidar Khan; Rahul Gupta 001; Anna Rumshisky; Wael Hamza (NAACL-HLT (Industry Papers), 2022)

Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU. - Jin Cao 003; Chandana Satya Prakash; Wael Hamza (NAACL-HLT (Findings), 2022)

Instilling Type Knowledge in Language Models via Multi-Task QA. - Shuyang Li; Mukund Sridhar; Chandana Satya Prakash; Jin Cao 003; Wael Hamza; Julian J. McAuley (NAACL-HLT (Findings), 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. - Saleh Soltan; Andy Rosenbaum; Tobias Falke; Qin Lu; Anna Rumshisky; Wael Hamza (ACL (Findings), 2023)

Low-Resource Compositional Semantic Parsing with Concept Pretraining. - Subendhu Rongali; Mukund Sridhar; Haidar Khan; Konstantine Arkoudas; Wael Hamza; Andrew McCallum (EACL, 2023)

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. - Vladislav Lialin; Stephen Rawls; David Chan; Shalini Ghosh; Anna Rumshisky; Wael Hamza (WACV (Workshops), 2023)

Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. - 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; et al. (ICASSP, 2024)

CALICO: Conversational Agent Localization via Synthetic Data Generation. - Andy Rosenbaum; Pegah Kharazmi; Ershad Banijamali; Lu Zeng; Christopher DiPersio; Pan Wei; Gokmen Oz; Clement Chung; Karolina Owczarzak; Fabian Triefenbach; Wael Hamza (CoRR, 2024)