Search Results for author: Kenneth Resnicow

Found 9 papers, 2 papers with code

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation

1 code implementation20 Mar 2024 Do June Min, Veronica Perez-Rosas, Kenneth Resnicow, Rada Mihalcea

In this paper, we study the problem of multi-reward reinforcement learning to jointly optimize for multiple text qualities for natural language generation.

Text Generation

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing

no code implementations14 Nov 2023 Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea

We introduce VERVE, a template-based rewriting system with paraphrase-augmented training and adaptive template updating.

Expressive Interviewing: A Conversational System for Coping with COVID-19

no code implementations EMNLP (NLP-COVID19) 2020 Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, Rada Mihalcea

The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability.

What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations

no code implementations ACL 2019 Ver{\'o}nica P{\'e}rez-Rosas, Xinyi Wu, Kenneth Resnicow, Rada Mihalcea

Our results suggest important language differences in low- and high-quality counseling, which we further use to derive linguistic features able to capture the differences between the two groups.

Predicting Counselor Behaviors in Motivational Interviewing Encounters

no code implementations EACL 2017 Ver{\'o}nica P{\'e}rez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence An, Kathy J. Goggin, Delwyn Catley

As the number of people receiving psycho-therapeutic treatment increases, the automatic evaluation of counseling practice arises as an important challenge in the clinical domain.

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