activity
20212023
most citedStoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

165 citations · 281 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2023★ 8 cited

PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data

Zheng Zhang, Zheng Ning, Chenliang Xu +2

Audio-visual learning seeks to enhance the computer's multi-modal perception leveraging the correlation between the auditory and visual modalities. Despite their many useful downst…

cs.HC2023★ 99 cited

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal +1

In argumentative writing, writers must brainstorm hierarchical writing goals, ensure the persuasiveness of their arguments, and revise and organize their plans through drafting. Re…

cs.CL2022★ 2 cited

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

Eyal Shnarch, Alon Halfon, Ariel Gera +19

Text classification can be useful in many real-world scenarios, saving a lot of time for end users. However, building a custom classifier typically requires coding skills and ML kn…

cs.CL2022★ 3 cited

Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension

Ying Xu, Dakuo Wang, Mo Yu +15

Question answering (QA) is a fundamental means to facilitate assessment and training of narrative comprehension skills for both machines and young children, yet there is scarcity o…

cs.HC2022★ 165 cited

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Zheng Zhang, Ying Xu, Yanhao Wang +6

Despite its benefits for children's skill development and parent-child bonding, many parents do not often engage in interactive storytelling by having story-related dialogues with…

cs.LG2021★ 3 cited

A Critical Review of Inductive Logic Programming Techniques for Explainable AI

Zheng Zhang, Liangliang Xu, Levent Yilmaz +1

Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trus…

cs.CL2021★ 1 cited

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books

Bingsheng Yao, Dakuo Wang, Tongshuang Wu +4

Existing question answering (QA) techniques are created mainly to answer questions asked by humans. But in educational applications, teachers often need to decide what questions th…