Papers by Neha Warikoo

2 papers
Semantic Similarity Models for Depression Severity Estimation (2023.emnlp-main)

Copied to clipboard

Challenge: Public health systems have limited capacity for case detection and diagnosis due to the widespread use of social media.
Approach: They propose to use social media content to generate semantic rankings for depressive symptoms and severity levels and use them to predict symptoms severity.
Outcome: The proposed pipeline improves on two Reddit-based benchmarks and shows that it is more efficient than state-of-the-art in terms of measuring depression level.
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues (2024.eacl-long)

Copied to clipboard

Challenge: Recent studies have focused on the role of client emotions and therapist interventions in predicting treatment outcomes from psychotherapy dialogues.
Approach: They propose to model the therapist-intervention-prediction-based dialogue acts at the utterance-level using a pan-theoretical schema and fine-tuned language models.
Outcome: The proposed model predicts the coherence between client self-reports on emotion and utterance-level emotions.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations