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This paper describes a bootstrapping algorithm that, when provided with a seed term, automatically induces relations from text. We describe a series of experiments that explore the role of sentence syntax during the bootstrapping process and demonstrate the feasibility of this approach by identifying a primitive instance\u2010level relation \u2013 the location relation, which is of interest because locations are described in multiple genres, such as in the news, novels and scientific articles. Our results suggest that syntax plays a critical role in identifying location relations.<\/jats:p>","DOI":"10.1002\/meet.14504701114","type":"journal-article","created":{"date-parts":[[2011,2,3]],"date-time":"2011-02-03T16:35:46Z","timestamp":1296750946000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["Bootstrapping location relations from text"],"prefix":"10.1002","volume":"47","author":[{"given":"Wu","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Catherine","family":"Blake","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,2,3]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Alexiev V. Fensel D. Breu M. de Bruijn J. Lara R. &Lausen H.(2005).Information integration with ontologies: experiences from an industrial showcase. 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