44 citations · 97 across the 16 of their papers we have counts for
6 papers · 1 filter
Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities
Saad Mankarious, Nour Zeid, Iyad Ait Hou +2
Social media research on mental health has focused predominantly on detecting and diagnosing conditions at the individual level. In this work, we shift attention to \emph{intergrou…
Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics
Iyad Ait Hou, Rebecca Hwa
If the same neuron activates for both "lender" and "riverside," standard metrics attribute the overlap to superposition--the neuron must be compressing two unrelated concepts. This…
mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysis
Dae-young Kim, Rebecca Hwa, Muhammad Mahbubur Rahman
This paper introduces mhGPT, a lightweight generative pre-trained transformer trained on mental health-related social media and PubMed articles. Fine-tuned for specific mental heal…
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
Omid Kashefi, Tazin Afrin, Meghan Dale +4
Analyzing how humans revise their writings is an interesting research question, not only from an educational perspective but also in terms of artificial intelligence. Better unders…
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
Meiqi Guo, Rebecca Hwa, Yu-Ru Lin +1
We investigate the impact of political ideology biases in training data. Through a set of comparison studies, we examine the propagation of biases in several widely-used NLP models…
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Rebecca Hwa
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is…