30 citations · 176 across the 66 of their papers we have counts for
9 papers · 1 filter
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets
Risako Owan, Maria Gini, Dongyeop Kang
Modal verbs, such as "can", "may", and "must", are commonly used in daily communication to convey the speaker's perspective related to the likelihood and/or mode of the proposition…
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
Zae Myung Kim, Wanyu Du, Vipul Raheja +2
Iterative text revision improves text quality by fixing grammatical errors, rephrasing for better readability or contextual appropriateness, or reorganizing sentence structures thr…
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models
Karin de Langis, Dongyeop Kang
There is growing interest in incorporating eye-tracking data and other implicit measures of human language processing into natural language processing (NLP) pipelines. The data fro…
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP
Ruyuan Wan, Naome Etori, Karla Badillo-Urquiola +1
The bridging research between Human-Computer Interaction and Natural Language Processing is developing quickly these years. However, there is still a lack of formative guidelines t…
RedPen: Region- and Reason-Annotated Dataset of Unnatural Speech
Kyumin Park, Keon Lee, Daeyoung Kim +1
Even with recent advances in speech synthesis models, the evaluation of such models is based purely on human judgement as a single naturalness score, such as the Mean Opinion Score…
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal +2
Large pre-trained language models have achieved impressive results on various style classification tasks, but they often learn spurious domain-specific words to make predictions (H…
Rethinking Annotation: Can Language Learners Contribute?
Haneul Yoo, Rifki Afina Putri, Changyoon Lee +4
Researchers have traditionally recruited native speakers to provide annotations for widely used benchmark datasets. However, there are languages for which recruiting native speaker…
Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision
Wanyu Du, Zae Myung Kim, Vipul Raheja +2
Revision is an essential part of the human writing process. It tends to be strategic, adaptive, and, more importantly, iterative in nature. Despite the success of large language mo…
Understanding Iterative Revision from Human-Written Text
Wanyu Du, Vipul Raheja, Dhruv Kumar +3
Writing is, by nature, a strategic, adaptive, and more importantly, an iterative process. A crucial part of writing is editing and revising the text. Previous works on text revisio…