7 citations · 16 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…