no code implementations • ACL 2022 • Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Through benchmarking with QG models, we show that the QG model trained on FairytaleQA is capable of asking high-quality and more diverse questions.
no code implementations • ACL 2022 • Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Li, Mo Yu, Ying Xu
Existing question answering (QA) techniques are created mainly to answer questions asked by humans.
no code implementations • 7 May 2022 • Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang
Recent advances in large-scale language modeling and generation have enabled the creation of dialogue agents that exhibit human-like responses in a wide range of conversational scenarios spanning a diverse set of tasks, from general chit-chat to focused goal-oriented discourse.
1 code implementation • 1 May 2022 • Yong Xie, Dakuo Wang, Pin-Yu Chen, JinJun Xiong, Sijia Liu, Sanmi Koyejo
More and more investors and machine learning models rely on social media (e. g., Twitter and Reddit) to gather real-time information and sentiment to predict stock price movements.
1 code implementation • ACL 2022 • Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma
Generating educational questions of fairytales or storybooks is vital for improving children's literacy ability.
1 code implementation • 26 Mar 2022 • Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Through benchmarking with QG models, we show that the QG model trained on FairytaleQA is capable of asking high-quality and more diverse questions.
Ranked #1 on
Question Generation
on FairytaleQA
no code implementations • 21 Mar 2022 • Chengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan Ma
Creating presentation slides is a critical but time-consuming task for data scientists.
no code implementations • 21 Feb 2022 • Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, Xinbing Wang
Geoscientists, as well as researchers in many fields, need to read a huge amount of literature to locate, extract, and aggregate relevant results and data to enable future research or to build a scientific database, but there is no existing system to support this use case well.
1 code implementation • 13 Feb 2022 • Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
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 or challenges in coming up with appropriate questions.
no code implementations • 3 Oct 2021 • Dakuo Wang, Xiaojuan Ma, April Yi Wang
Human-Centered AI (HCAI) refers to the research effort that aims to design and implement AI techniques to support various human tasks, while taking human needs into consideration and preserving human control.
2 code implementations • 8 Sep 2021 • Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu
Existing question answering (QA) techniques are created mainly to answer questions asked by humans.
1 code implementation • NAACL 2021 • Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy X. R. Wang
Presentations are critical for communication in all areas of our lives, yet the creation of slide decks is often tedious and time-consuming.
no code implementations • 9 Apr 2021 • Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D Weisz
Automated Machine Learning (AutoML) is a rapidly growing set of technologies that automate the model development pipeline by searching model space and generating candidate models.
2 code implementations • Findings (EMNLP) 2021 • Xuye Liu, Dakuo Wang, April Wang, Yufang Hou, Lingfei Wu
Jupyter notebook allows data scientists to write machine learning code together with its documentation in cells.
no code implementations • 25 Mar 2021 • Yi Sun, Abel Valente, Sijia Liu, Dakuo Wang
Prior works on formalizing explanations of a graph neural network (GNN) focus on a single use case - to preserve the prediction results through identifying important edges and nodes.
no code implementations • 13 Jan 2021 • Dakuo Wang, Josh Andres, Justin Weisz, Erick Oduor, Casey Dugan
Only till recently, machine learning(ML) researchers have developed promising automation techniques to aid data workers in these tasks.
no code implementations • 13 Jan 2021 • David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael Muller, Felix Portnoy
The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent roles on the same team.
no code implementations • 7 Jan 2021 • Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, Lisa Amini
There is an active research thread in AI, \autoai, that aims to develop systems for automating end-to-end the DS/ML Lifecycle.
no code implementations • 4 Jan 2021 • Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian
Artificial intelligence (AI) technology has been increasingly used in the implementation of advanced Clinical Decision Support Systems (CDSS).
2 code implementations • 4 Jan 2021 • Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang
Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they can only respond to a limited number of pre-defined inputs with pre-scripted responses; or 2) they are designed with a focus on single-user scenarios, thus it is unclear how these systems may affect other users or the community.
no code implementations • 17 Jun 2020 • Parikshit Ram, Sijia Liu, Deepak Vijaykeerthi, Dakuo Wang, Djallel Bouneffouf, Greg Bramble, Horst Samulowitz, Alexander G. Gray
The CASH problem has been widely studied in the context of automated configurations of machine learning (ML) pipelines and various solvers and toolkits are available.
no code implementations • 6 Feb 2020 • Di Wu, Huayan Wan, Siping Liu, Weiren Yu, Zhanpeng Jin, Dakuo Wang
The "mind-controlling" capability has always been in mankind's fantasy.
no code implementations • 18 Jan 2020 • Amy X. Zhang, Michael Muller, Dakuo Wang
We also found that the collaborative practices workers employ, such as documentation, vary according to the kinds of tools they use.
no code implementations • 17 Jan 2020 • Jaimie Drozdal, Justin Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael Muller, Lin Ju, Hui Su
We explore trust in a relatively new area of data science: Automated Machine Learning (AutoML).
no code implementations • 13 Dec 2019 • Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael Muller, Josh Andres, Alexander Gray, Dakuo Wang
Artificial Intelligence (AI) can now automate the algorithm selection, feature engineering, and hyperparameter tuning steps in a machine learning workflow.
no code implementations • IJCNLP 2019 • Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu
In multi-party chat, it is common for multiple conversations to occur concurrently, leading to intermingled conversation threads in chat logs.
no code implementations • 8 Sep 2019 • Yaoli Mao, Dakuo Wang, Michael Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, AleksandraMojsilović
Our findings suggest that besides the glitches in the collaboration readiness, technology readiness, and coupling of work dimensions, the tensions that exist in the common ground building process influence the collaboration outcomes, and then persist in the actual collaboration process.
no code implementations • 5 Sep 2019 • Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, Alexander Gray
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways.
1 code implementation • IJCNLP 2019 • Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu
Out-of-domain (OOD) detection for low-resource text classification is a realistic but understudied task.
no code implementations • 4 Jun 2019 • Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan
We cross-referenced 117 project teams and their team-based Slack channels and identified 57 teams that appeared in both datasets, then we built a regression model to reveal the relationship between these group communication styles and the project team performance.
no code implementations • 1 May 2019 • Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander Gray
We study the AutoML problem of automatically configuring machine learning pipelines by jointly selecting algorithms and their appropriate hyper-parameters for all steps in supervised learning pipelines.
1 code implementation • ACL 2019 • Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
Most approaches to extraction multiple relations from a paragraph require multiple passes over the paragraph.
Ranked #10 on
Relation Extraction
on SemEval-2010 Task 8