no code implementations • ACL 2020 • Veronica Lynn, Niranjan Balasubramanian, H. Andrew Schwartz
Not all documents are equally important.
1 code implementation • 10 Nov 2019 • Salvatore Giorgi, Veronica Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle Ungar, H. Andrew Schwartz
However, social media users are not typically a representative sample of the intended population -- a "selection bias".
no code implementations • WS 2019 • Veronica Lynn, Salvatore Giorgi, Niranjan Balasubramanian, H. Andrew Schwartz
NLP naturally puts a primary focus on leveraging document language, occasionally considering user attributes as supplemental.
no code implementations • WS 2018 • Veronica Lynn, Alissa Goodman, Kate Niederhoffer, Kate Loveys, Philip Resnik, H. Andrew Schwartz
We describe the shared task for the CLPsych 2018 workshop, which focused on predicting current and future psychological health from an essay authored in childhood.
no code implementations • EMNLP 2017 • Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz
We pose the general task of user-factor adaptation {--} adapting supervised learning models to real-valued user factors inferred from a background of their language, reflecting the idea that a piece of text should be understood within the context of the user that wrote it.