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Distant Supervision for Relation Extraction beyond the Sentence Boundary
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
The growing demand for structured knowledge has led to great interest in relation extraction, especially in cases with limited supervision. However, existing distance supervision approaches only extract relations expressed in single sentences. In general, cross-sentence relation extraction is under-explored, even in the supervised-learning setting. In this paper, we propose the first approach for applying distant supervision to crosssentence relation extraction. At the core of our approach is a
doi:10.18653/v1/e17-1110
dblp:conf/eacl/QuirkP17
fatcat:m2gcbdzgdvfvblkmuldywhcmxe