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Constructing large proposition databases

In English

Författare

Summary, in English

With the advent of massive online encyclopedic corpora such as Wikipedia, it has become possible to apply a systematic analysis to a wide range of documents covering a significant part of human knowledge. Using semantic parsers, it has become possible to extract such knowledge in the form of propositions (predicate―argument structures) and build large proposition databases from these documents. This paper describes the creation of multilingual proposition databases using generic semantic dependency parsing. Using Wikipedia, we extracted, processed, clustered, and evaluated a large number of propositions. We built an architecture to provide a complete pipeline dealing with the input of text, extraction of knowledge, storage, and presentation of the resulting propositions

Publiceringsår

2012

Språk

Engelska

Sidor

3836-3839

Publikation/Tidskrift/Serie

Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)

Dokumenttyp

Konferensbidrag

Förlag

European Language Resources Association

Ämne

  • Computer Science

Nyckelord

  • Knowledge Discovery/Representation
  • Information Extraction
  • Information Retrieval
  • Semantics

Conference name

The eighth international conference on Language Resources and Evaluation (LREC 2012)

Conference date

2012-05-21 - 2012-05-27

Conference place

Istanbul, Turkey

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-2-9517408-7-7