Browsing Tetherless World Publications by Author "Wang, Dakuo"
Now showing items 1-6 of 6
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Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Yao, Bingsheng; Sen, Prithviraj; Popa, Lucian; Hendler, James A.; Wang, Dakuo (Association for Computational Linguistics, 2023-07)Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form ... -
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture
Yao, Bingsheng; Jindal, Ishan; Popa, Lucian; Katsis, Yannis; Ghosh, Sayan; He, Lihong; Lu, Yuxuan; Srivastava, Shashank; Hendler, James A.; Wang, Dakuo (arXiv, 2023-05-23)Data annotation is a costly task; thus, researchers have proposed low-scenario learning techniques like Active-Learning (AL) to support human annotators; Yet, existing AL works focus only on the label, but overlook the ... -
Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Yu, Hong; Hendler, James A.; Dey, Anind K.; Wang, Dakuo (ACM, 2023-07-26)The recent technology boost of large language models (LLMs) has empowered a variety of applications. However, there is very little research on understanding and improving LLMs' capability for the mental health domain. In ... -
NECE: Narrative Event Chain Extraction Toolkit
Xu, Guangxuan; Toro Isaza, Paulina; Li, Moshi; Oloko, Akintoye; Yao, Bingsheng; Sanctos, Cassia; Adebiyi, Aminat; Hou, Yufang; Peng, Nanyun; Wang, Dakuo (arXiv, 2022-07-17)To understand a narrative, it is essential to comprehend its main characters and the associated major events; however, this can be challenging with lengthy and unstructured narrative texts. To address this, we introduce ... -
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Zhang, Zheng; Xu, Ying; Wang, Yanhao; Yao, Bingsheng; Ritchie, Daniel; Wu, Tongshuang; Yu, Mo; Wang, Dakuo; Jia-Jun Li, Toby (ACM, 2022-04-29)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 their child due to limited availability ... -
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems
Drozdal, Jaimie; Weisz, Justin; Wang, Dakuo; Dass, Gaurav; Yao, Bingsheng; Zhao, Changruo; Muller, Michael; Ju, Lin; Su, Hui (ACM, 2020-03-17)We explore trust in a relatively new area of data science: Automated Machine Learning (AutoML). In AutoML, AI methods are used to generate and optimize machine learning models by automatically engineering features, selecting ...