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20222026
most citedAPPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

11 citations · 12 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI

Yuya Asano, Sabit Hassan, Paras Sharma +4

General-purpose automatic speech recognition (ASR) systems do not always perform well in goal-oriented dialogue. Existing ASR correction methods rely on prior user data or named en…

cs.CL2024

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Mert İnan, Katherine Atwell, Anthony Sicilia +2

We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide m…

cs.CL2024★ 1 cited

Studying and Mitigating Biases in Sign Language Understanding Models

Katherine Atwell, Danielle Bragg, Malihe Alikhani

Ensuring that the benefits of sign language technologies are distributed equitably among all community members is crucial. Thus, it is important to address potential biases and ine…

cs.CL2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20

The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…

cs.CL2023

Multilingual Content Moderation: A Case Study on Reddit

Meng Ye, Karan Sikka, Katherine Atwell +3

Content moderation is the process of flagging content based on pre-defined platform rules. There has been a growing need for AI moderators to safeguard users as well as protect the…

cs.CL2022★ 11 cited

APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

Katherine Atwell, Sabit Hassan, Malihe Alikhani

Using style-transfer models to reduce offensiveness of social media comments can help foster a more inclusive environment. However, there are no sizable datasets that contain offen…