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20142025
most citedEmora: An Inquisitive Social Chatbot Who Cares For You

7 citations · 16 across the 6 of their papers we have counts for

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cs.CL2025

Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots

Sarah E. Finch, Ellie S. Paek, Ikseon Choi +1

As chatbots become integral to daily life, personalizing systems is key for fostering trust, engagement, and inclusivity. This study examines how linguistic similarity affects chat…

cs.CL20231 cited

Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability

Lydia Feng, Gregor Williamson, Han He +1

This paper presents a novel semantic representation, WISeR, that overcomes challenges for Abstract Meaning Representation (AMR). Despite its strengths, AMR is not easily applied to…

cs.CL2023

Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing

Han He, Jinho D. Choi

Sequence-to-Sequence (S2S) models have achieved remarkable success on various text generation tasks. However, learning complex structures with S2S models remains challenging as ext…

cs.CL20212 cited

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph

Liyan Xu, Xuchao Zhang, Bo Zong +6

We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and t…

cs.CL20207 cited

Emora: An Inquisitive Social Chatbot Who Cares For You

Sarah E. Finch, James D. Finch, Ali Ahmadvand +9

Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such exp…

cs.CL20146 cited

Targetable Named Entity Recognition in Social Media

Sandeep Ashwini, Jinho D. Choi

We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e.g, movies, books, TV shows). Unlike many other NER…