TacoBot

Learn more about Team TacoBot from Ohio State University, competing in the first Alexa Prize TaskBot Challenge.

Shijie C. - Team leader

Shijie is an incoming Ph.D. student in CSE. He has research experience in semantic parsing, question answering and machine learning.

The Ohio State Universiy TacoBot team consists of, left to right, top row: Zhen Wang and Samuel Stevens;  second row: Tianshu Zhang, Shijie Chen, and Yu Su; third row: Lingbo Mo, Xiang Yue, Xiang Deng; and bottom row: Ashley Lewis, Ziru Chen, and Huan Sun.
The Ohio State Universiy TacoBot team consists of, left to right, top row: Zhen Wang and Samuel Stevens; second row: Tianshu Zhang, Shijie Chen, and Yu Su; third row: Lingbo Mo, Xiang Yue, Xiang Deng; and bottom row: Ashley Lewis, Ziru Chen, and Huan Sun.

Ziru C.

Ziru is a rising 4th-year undergraduate in Computer Science. He has recently received a departmental scholarship from OSU CSE for his academic excellence. Ziru has strong engineering skills and research experience in Text-to-SQL parsing, dialogue response generation, NER, and question answering. He will be an internal director of the team and lead to develop the overall system architecture and NLG modules.

Tianshu Z.

I am currently a first-year Ph.D. student at The Ohio State University, working with Prof. Huan Sun. I received my Bachelor’s degree from University of Electronic Science and Technology of China. My current research interests focus on semantic parsing and table representation learning.

Lingbo M.

I am a second year CS PhD student. My research lies in semantic parsing and question answering. Specifically, I focus on answering complex questions in a conversational manner. Also, I explore utilizing different data sources including knowledge base and text corpus to answer open domain questions. Prior to PhD, I got a Master degree working on the intersection of computer vision and NLP with a publication in ACCV, particularly on image captioning and visual storytelling.

Zhen W.

Zhen is a 5th-year PhD student in the Department of Computer Science and Engineering at the Ohio State University, advised by Huan Sun. He has spent time interning in Microsoft Research Redmond and NEC Labs America. His research interests lie in Natural Language Processing, Machine Learning and Data Mining. His research focuses on building trustworthy NLP/ML models powered by interpretable and robust knowledge representation and reasoning. He studies information extraction, question answering, graph learning and interpretable machine learning.He’s won several research awards, including several student travel awards, Rising Stars in Data Science by UChicago, etc.

Ashley L.

3rd-year PhD student in Computational Linguistics. She works on conversational semantic parsing and dialogues and specializes in pragmatics, RSA (Rational Speech Act) frameworks, and discourse analysis.

Samuel S.

Sam is an incoming PhD student at the Ohio State University with a focus in natural language processing. He has research experience in language model interpretability and domain adaptation for conversational interfaces, as well as industry experience with GE Aviation, Microsoft and SpaceX.

Xiang Y.

Xiang is a 3rd year Ph.D. student from the Ohio State University. He has broad interests in Natural Language Processing (NLP) with an emphasis on Question Answering (QA). Particularly, his research aims to build trustworthy QA systems in the wild, which must retain high standard aspects such as generalization, privacy awareness, and knowledge awareness. He aspires one day human can place an enormous trust in QA systems. Before being an NLPer, he had 3 years research experience in data mining and bioinformatics.

Xiang D.

My research interests lie in NLP and data mining, with emphasis on knowledge discovery and utilization from heterogeneous sources. Specifically, I am interested in tasks like: (1) Knowledge extraction and integration from web texts, tables and knowledge graph. (2) Question answering and semantic parsing with text and structured data. Recently, my research has been focused on pretraining for data other than plain text, and effective pretraining for downstream tasks.

Sun Huan - Faculty advisor

Coming soon!

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Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
US, WA, Seattle
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US, MA, Boston
Sr. Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
US, MA, Boston
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
IN, KA, Bengaluru
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