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Matthew Matero
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2020 – today
- 2024
- [c7]Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. EACL (2) 2024: 454-468 - [i5]Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. CoRR abs/2402.01980 (2024) - 2023
- [j2]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [j1]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Author Correction: Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [c6]Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes C. Eichstaedt, Adithya V. Ganesan, H. Andrew Schwartz:
Discourse-Level Representations can Improve Prediction of Degree of Anxiety. ACL (2) 2023: 1500-1511 - 2022
- [c5]Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Language Modeling. ACL (Findings) 2022: 622-636 - [c4]Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. WASSA@ACL 2022: 89-94 - [i4]Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Language Modeling. CoRR abs/2205.05128 (2022) - 2021
- [c3]Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz:
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. EMNLP (Findings) 2021: 2959-2966 - [c2]Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz:
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. NAACL-HLT 2021: 4515-4532 - [i3]Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz:
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. CoRR abs/2105.03484 (2021) - [i2]Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz:
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. CoRR abs/2109.08113 (2021) - [i1]Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. CoRR abs/2112.13795 (2021) - 2020
- [c1]Matthew Matero, H. Andrew Schwartz:
Autoregressive Affective Language Forecasting: A Self-Supervised Task. COLING 2020: 2913-2923
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