TY - CHAP U1 - Konferenzveröffentlichung A1 - Reiplinger, Melanie A1 - Wiegand, Michael A1 - Klakow, Dietrich ED - Przepiórkowski, Adam ED - Ogrodniczuk, Maciej T1 - Relation Extraction for the Food Domain without Labeled Training Data – Is Distant Supervision the Best Solution? T2 - Advances in Natural Language Processing. Proceedings of the 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014 N2 - We examine the task of relation extraction in the food domain by employing distant supervision. We focus on the extraction of two relations that are not only relevant to product recommendation in the food domain, but that also have significance in other domains, such as the fashion or electronics domain. In order to select suitable training data, we investigate various degrees of freedom. We consider three processing levels being argument level, sentence level and feature level. As external resources, we employ manually created surface patterns and semantic types on all these levels. We also explore in how far rule-based methods employing the same information are competitive. T3 - Lecture Notes in Artificial Intelligence - 8686 KW - Computerlinguistik KW - Information Extraction KW - Lebensmittel KW - Maschinelles Lernen KW - Natürliche Sprache KW - Food item KW - Surface pattern KW - Target relation KW - Relation extraction KW - Sentence level Y1 - 2014 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-87465 SN - 978-3-319-10887-2 SB - 978-3-319-10887-2 U6 - https://doi.org/10.1007/978-3-319-10888-9_35 DO - https://doi.org/10.1007/978-3-319-10888-9_35 N1 - Dieser Beitrag ist aus urheberrechtlichen Gründen online nicht frei zugänglich. SP - 345 EP - 357 PB - Springer CY - Cham ER -