Michael J. Cafarella

Publications117
h-index36
Citations9,048
Highly Influential Citations733
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Open Information Extraction from the Web
TLDR
Open IE (OIE), a new extraction paradigm where the system makes a single data-driven pass over its corpus and extracts a large set of relational tuples without requiring any human input, is introduced.
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Unsupervised named-entity extraction from the Web: An experimental study
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Web-scale information extraction in knowitall: (preliminary results)
TLDR
KnowItAll, a system that aims to automate the tedious process of extracting large collections of facts from the web in an autonomous, domain-independent, and scalable manner, is introduced.
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WebTables: exploring the power of tables on the web
TLDR
The WEBTABLES system develops new techniques for keyword search over a corpus of tables, and shows that they can achieve substantially higher relevance than solutions based on a traditional search engine.
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Data Integration for the Relational Web
TLDR
Octopus is a system that combines search, extraction, data cleaning and integration, and enables users to create new data sets from those found on the Web, to offer the user a set of best-effort operators that automate the most labor-intensive tasks.
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TextRunner: Open Information Extraction on the Web
TLDR
The TextRunner system demonstrates a new kind of information extraction, called Open Information Extraction (OIE), in which the system makes a single, data-driven pass over the entire corpus and extracts a large set of relational tuples, without requiring any human input.
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Uncovering the Relational Web
TLDR
This paper gives an in-depth study of the Web's HTML table corpus, and describes a system for performing relation recovery that achieves precision and recall that are comparable to other domain-independent information extraction systems.
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Automatic web spreadsheet data extraction
TLDR
A system that automatically extracts relational data from spreadsheets, thereby enabling relational spreadsheet integration and a novel view of how users organize their data in spreadsheets is presented.
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KnowItNow: Fast, Scalable Information Extraction from the Web
TLDR
A novel architecture for IE that obviates queries to commercial search engines is introduced, embodied in a system called KnowItNow that performs high-precision IE in minutes instead of days, and the tradeoff between recall and speed is quantified.
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Automatic Optimization for MapReduce Programs
TLDR
Manimal is shown, which automatically analyzes MapReduce programs and applies appropriate data-aware optimizations, thereby requiring no additional help at all from the programmer, and that it yields speedups of up to 1,121% on previously-written Map Reduce programs.
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