Organization

Organizing Committee

(in alphabetical order)

Douglas Burdick is a Research Staff Member at IBM Research - Almaden currently working on the application of AI and machine learning to document understanding, which includes table extraction and understanding in addition to inferring document structure. His document understanding work is incorporated into the IBM Watson Compare & Comply and IBM Watson Discovery products. His other research focuses on the creation of financial knowledge graphs from unstructured data sources such as regulatory filings and analyst reports, which includes interpretation of tabular data from these documents. He has contributed to Apache SystemML and OpenII data integration toolkit, and co-organizes the DSMM workshop series (co-located with SIGMOD). He received his PhD in Computer Science from the University of Wisconsin - Madison.

Dave Lewis is an Executive Vice President for AI Research, Development, and Ethics at Reveal-Brainspace. Prior to joining Brainspace, he was variously a freelance consultant, corporate researcher (Bell Labs, AT&T Labs), research professor, and software company co-founder. Dave has published more than 40 peer-reviewed scientific publications and 9 patents. He was elected a Fellow of the American Association for Advancement of Science in 2006 for foundational work in text categorization, and won a Test of Time Award from ACM SIGIR in 2017 for his paper w/ Gale introducing uncertainty sampling.

Yijuan (Lucy) Lu is a Principal Scientist at Microsoft Azure AI where she worked on invoice understanding, OCR core engine, and video understanding in the recent two years. Prior to joining Microsoft, she was an associate professor in the Department of Computer Science at Texas State University. Her major publications appear in leading publication venues in multimedia and computer vision research. She was the First Place Winner in many challenging retrieval competitions in Eurographics for many years. She received 2015 Texas State Presidential Distinction Award and 2014 College Achievement Award. She also received the Best Paper award from ICME 2013 and ICIMCS 2012. She has obtained many competitive external grants from NSF, US Army, US Department of Defense and Texas Department of Transportation.

Hamid Motahari is an Honorary Professor of Computer Science at Macquarie University, Sydney, Australia. Prior to this, he was the Head of AI Science at the EY AI Lab in California where he was leading a team of AI scientists in text and document understanding. Prior to EY, Hamid served as the Research Lead for AI & Cognitive Solutions at IBM Research, and has been a member of IBM Academy of Technology. He is a Senior Member of IEEE and has published 100+ scholarly papers in various conferences in AI, Web, IT Services, and IEEE/ACM journals. Hamid has chaired and organized various academic conferences and workshops in the past IEEE, ACM, AAAI and INFORMS conferences, including he has served as Technical Program Committee (TPC) Chair of the 1st Workshop on Document Intelligence at NeurIPS 2019.

Sandeep Tata is a Software Engineer at Google Research and leads a research group on information extraction. Sandeep has published dozens of peer-reviewed research articles across a variety of disciplines including data management, data mining, natural language processing, and information extraction. Sandeep’s research work has impacted billions of people through research-focused enhancements to products like Google Drive, Gmail, and Google Assistant. He has served on the program committees for VLDB, ICDE, CIKM, and as a senior program committee member for KDD. He served on the organizing committee for WSDM 2016. Prior to Google Research, Sandeep was a Research Staff Member at IBM’s Almaden Research Center. He has a PhD from the University of Michigan.

Program Committee Chair

Benjamin Han is the Principal Science Manager leading the research and development of the natural language services on Microsoft Azure AI. His current focus is to democratize the state-of-the-art NLP research to serve customers at scale. His research interests include language detection, key phrase extraction, sentiment analysis, named entity recognition, entity linking, coreference resolution, relation extraction, knowledge base construction, summarization, and question answering. During his time at Microsoft he has been a Principal Scientist in Satori (knowledge graph) and Bot Framework (conversational AI). Before that he was a Research Staff Member in the Multilingual NLP Technologies group at IBM TJ Watson Research Center for over a decade, working on all stages of information extraction technologies that power products such as IBM Watson Knowledge Studio and Watson NLU. He had participated in many government organized projects/competitions such as TREC, RADAR, ACE, GALE and TACKBP, published in conferences such as ICME, ICoS, NAACL, IJCAI, AAAI and SIGIR, and organized the Knowledge Graph tutorial in KDD 2018.

Reviewers

The DI-2021 Organizing Committee wishes to express its sincere gratitude to the help from our paper reviewers. Without your thorough and timely reviewing, we could not have organized a successful workshop! THANK YOU!

(in alphabetical order of last names)