Amandalynne Paullada

According to our database, Amandalynne Paullada authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Behind the Mask: Demographic bias in name detection for PII masking.

Courtney Mansfield, Amandalynne Paullada, Kristen Howell

Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021

Data and its (dis)contents: A survey of dataset development and use in machine learning research.

Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna

Patterns, 2021

AI and the Everything in the Whole Wide World Benchmark.

Inioluwa Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, Amandalynne Paullada

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

A multilabel approach to morphosyntactic probing.

Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop.

Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies.

Amandalynne Paullada, Bethany Percha, Trevor Cohen

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2017

Non-lexical Features Encode Political Affiliation on Twitter.

Rachael Tatman, Leo Stewart, Amandalynne Paullada, Emma S. Spiro

Proceedings of the Second Workshop on NLP and Computational Social Science, 2017

2016

ATHENA - A Zero-Intrusion No Contact Method for Workload Detection Using Linguistics, Keyboard Dynamics, and Computer Vision.

Tammy Ott, Peggy Wu, Amandalynne Paullada, Derek Mayer, Jeremy Gottlieb, Peter Wall

Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016

Extending Biology Models with Deep NLP over Scientific Articles.

David D. McDonald, Scott E. Friedman, Amandalynne Paullada, Rusty Bobrow, Mark H. Burstein

Proceedings of the Knowledge Extraction from Text, 2016