TY - CHAP U1 - Konferenzveröffentlichung A1 - Wiegand, Michael A1 - Roth, Benjamin A1 - Klakow, Dietrich ED - Bouma, Gosse ED - Ittoo, Ashwin ED - Métais, Elisabeth ED - Wortmann, Hans T1 - Web-Based Relation Extraction for the Food Domain T2 - 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 N2 - 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. T3 - Lecture Notes in Computer Science - 7337 KW - Computerlinguistik KW - Lebensmittel KW - Information Extraction KW - Natürliche Sprache KW - Food item KW - Relation type KW - Linguistic processing KW - Sparkling wine KW - Mean reciprocal rank Y1 - 2012 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-87454 SN - 978-3-642-31177-2 SB - 978-3-642-31177-2 U6 - https://doi.org/10.1007/978-3-642-31178-9_25 DO - https://doi.org/10.1007/978-3-642-31178-9_25 N1 - Dieser Beitrag ist aus urheberrechtlichen Gründen online nicht frei zugänglich. SP - 222 EP - 227 PB - Springer CY - Berlin [u.a.] ER -