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Espresso: leveraging generic patterns for automatically harvesting semantic relations
Open accessAbstract
In this paper, we present Espresso, a weakly-supervised, general-purpose, and accurate algorithm for harvesting semantic relations. The main contributions are: i) a method for exploiting generic patterns by filtering incorrect instances using the Web; and ii) a principled measure of pattern and instance reliability enabling the filtering algorithm. We present an empirical comparison of Espresso with various state of the art systems, on different size and genre corpora, on extracting various general and specific relations. Experimental results show that our exploitation of generic patterns substantially increases system recall with small effect on overall precision.
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Cited by
Distant supervision for relation extraction without labeled data
Mintz, M., Bills, S., Snow, R., & Jurafsky, D. (2009) · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09 · doi:10.3115/1690219.1690287 · Cited by 2,752
Yago: a core of semantic knowledge
Suchanek, F. M., Kasneci, G., & Weikum, G. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242667 · Cited by 2,512
YAGO: A Large Ontology from Wikipedia and WordNet
Suchanek, F. M., Kasneci, G., & Weikum, G. (2008) · Journal of Web Semantics · doi:10.1016/j.websem.2008.06.001 · Cited by 904
Distributional Memory: A General Framework for Corpus-Based Semantics
Baroni, M., & Lenci, A. (2010) · Computational Linguistics · doi:10.1162/coli_a_00016 · Cited by 659
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Metadata
- Authors
- Pantel, P., & Pennacchiotti, M.
- Venue
- Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06
- Published
- 2006
- Pages
- 113-120
- OpenAlex
- W2137023796
- Cited by
- 529
- References
- 0
- FWCI
- 29.77
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Pantel, P., & Pennacchiotti, M. (2006). Espresso: leveraging generic patterns for automatically harvesting semantic relations. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06. https://doi.org/10.3115/1220175.1220190
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