Matthew Matero

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Trec Collections

Empirical Evaluation

Top Venues

npj Digit. Medicine

Publications

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)
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 (2024)
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)
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)
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)
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
Human Language Modeling. ACL (Findings) (2022)
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)
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
Human Language Modeling. CoRR (2022)
Matthew Matero, Albert Hung, H. Andrew Schwartz
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. CoRR (2021)
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. CoRR (2021)
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)
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)
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 (2021)
Matthew Matero, H. Andrew Schwartz
Autoregressive Affective Language Forecasting: A Self-Supervised Task. COLING (2020)