Split-correctness in information extraction

Johannes Doleschal, Benny Kimelfeld, Wim Martens, Yoav Nahshon, Frank Neven

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Programs for extracting structured information from text, namely information extractors, often operate separately on document segments obtained from a generic splitting operation such as sentences, paragraphs, k-grams, HTTP requests, and so on. An automated detection of this behavior of extractors, which we refer to as split-correctness, would allow text analysis systems to devise query plans with parallel evaluation on segments for accelerating the processing of large documents. Other applications include the incremental evaluation on dynamic content, where re-evaluation of information extractors can be restricted to revised segments, and debugging, where developers of information extractors are informed about potential boundary crossing of different semantic components. We propose a new formal framework for split-correctness within the formalism of document spanners. Our preliminary analysis studies the complexity of split-correctness over regular spanners. We also discuss different variants of split-correctness, for instance, in the presence of black-box extractors with "split constraints".

Original languageEnglish
Title of host publicationPODS 2019 - Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
Pages149-163
Number of pages15
ISBN (Electronic)9781450362276
DOIs
StatePublished - 13 Jun 2019
Event38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. PODS 2019, held in conjunction with the 2019 ACM SIGMOD International Conference on Management of Data, SIGMOD 2019 - Amsterdam, Netherlands
Duration: 1 Jul 20193 Jul 2019

Publication series

NameProceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Conference

Conference38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. PODS 2019, held in conjunction with the 2019 ACM SIGMOD International Conference on Management of Data, SIGMOD 2019
Country/TerritoryNetherlands
CityAmsterdam
Period1/07/193/07/19

Keywords

  • Complexity
  • Information extraction
  • Spanners

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture

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