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 |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-87454 |
| DOI: | https://doi.org/10.1007/978-3-642-31178-9_25 |
| ISBN: | 978-3-642-31177-2 |
| 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) |
| Publisher: | Springer |
| Place of publication: | Berlin [u.a.] |
| Editor: | Gosse BoumaGND, Ashwin Ittoo, Elisabeth Métais, Hans Wortmann |
| Document Type: | Conference Proceeding |
| Language: | English |
| 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 |
| Note: | Dieser Beitrag ist aus urheberrechtlichen Gründen online nicht frei zugänglich. |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | nein |
| Licence (German): |  Urheberrechtlich geschützt |