@inproceedings{WiegandRothKlakow2019, author = {Michael Wiegand and Benjamin Roth and Dietrich Klakow}, title = {Web-Based Relation Extraction for the Food Domain}, series = {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}, editor = {Gosse Bouma and Ashwin Ittoo and Elisabeth M{\´e}tais and Hans Wortmann}, publisher = {Springer}, address = {Berlin [u.a.]}, isbn = {978-3-642-31177-2}, doi = {10.1007/978-3-642-31178-9\_25}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-87454}, pages = {222 -- 227}, year = {2019}, abstract = {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.}, language = {en} }