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Matthew Matero
Matthew Matero
Stony Brook University
Computer science
transformer
Language model
Natural language processing
Artificial intelligence
5
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Human Language Modeling.
2022
CoRR
Nikita Soni
Matthew Matero
Niranjan Balasubramanian
H. Andrew Schwartz
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WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums
2022
| The Annual Conference of the North American Chapter of the Association for Computational Linguistics
Adithya V Ganesan
Vasudha Varadarajan
Juhi Mittal
Subrahmanya, Shashanka
Matthew Matero
Nikita Soni
Sharath Chandra Guntuku
johannes Eichstaedt
H. Andrew Schwartz
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MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
2021
| Conference on Empirical Methods in Natural Language Processing
Matthew Matero
Nikita Soni
Niranjan Balasubramanian
H. Andrew Schwartz
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MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
2021
EMNLP | Empirical Methods in Natural Language Processing
Matthew Matero
Nikita Soni
Niranjan Balasubramanian
H. Andrew Schwartz
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Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality.
2021
NAACL | North American Chapter of the Association for Computational Linguistics
Adithya V Ganesan
Matthew Matero
Aravind Reddy Ravula
Huy Vu
H. Andrew Schwartz
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