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Demo Data from VLDB 2026 / reviewers in the wild / expert

Dave Lewis 0003

dblp:299/4664 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Databases, data management, data science and information retrieval · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
document AI		 0.512021
DI-2021: The Second Document Intelligence Workshop · KDD 2021
Information retrieval › document processing › document analysis
document understanding		 0.112021
DI-2021: The Second Document Intelligence Workshop · KDD 2021

Methods — techniques the papers use, named apart from their topics

optical character recognition · 1.0
YearPublicationVenuePosition
2022 DI-2022: The Third Document Intelligence Workshop
abstract
Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to not only many domains of knowledge involved, but also their complex formats and structures, internal and external cross references deployed, and even less-than-ideal quality of scans and OCR oftentimes performed on them. This workshop aims to explore and advance the current state of research and practice in answering these challenges.
Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis 0003, Sandeep Tata, Dan Tecuci
 KDD4
2021 DI-2021: The Second Document Intelligence Workshop
abstract
Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to not only many domains of knowledge involved, but also their complex formats and structures, internal and external cross references deployed, and even less-than-ideal quality of scans and OCR oftentimes performed on them. This workshop aims to explore and advance the current state of research and practice in answering these challenges.
Benjamin Han, Douglas Burdick, Dave Lewis 0003, Yijuan Lu, Hamid R. Motahari Nezhad, Sandeep Tata
 KDD3