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Web-Based Relation Extraction for the Food Domain

  • In this paper, we examine methods to extract different domain-specific relations from the food domain. We employ different extraction methods ranging from surface patterns to co-occurrence measures applied on different parts of a document. We show that the effectiveness of a particular method depends very much on the relation type considered and that there is no single method that works equally well for every relation type. As we need to process a large amount of unlabeled data our methods only require a low level of linguistic processing. This has also the advantage that these methods can provide responses in real time.

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Author:Michael WiegandGND, Benjamin Roth, Dietrich Klakow
Parent Title (English):Natural Language Processing and Information Systems. Proceedings of the 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28, 2012
Series (Serial Number):Lecture Notes in Computer Science (7337)
Place of publication:Berlin [u.a.]
Editor:Gosse Bouma, Ashwin Ittoo, Elisabeth Métais, Hans Wortmann
Document Type:Conference Proceeding
Year of first Publication:2012
Date of Publication (online):2019/04/02
Tag:Food item; Linguistic processing; Mean reciprocal rank; Relation type; Sparkling wine
GND Keyword:Computerlinguistik; Information Extraction; Lebensmittel; Natürliche Sprache
First Page:222
Last Page:227
Dieser Beitrag ist aus urheberrechtlichen Gründen online nicht frei zugänglich.
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:nein
Licence (German):License LogoUrheberrechtlich geschützt