The Journal of Machine Learning Research
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Freebase: a collaboratively created graph database for structuring human knowledge
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Distant supervision for relation extraction without labeled data
ACL '09 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 - Volume 2
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
Coreference resolution in a modular, entity-centered model
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Modeling relations and their mentions without labeled text
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Filling knowledge gaps in text for machine reading
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Knowledge-based weak supervision for information extraction of overlapping relations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Which noun phrases denote which concepts?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Large-scale cross-document coreference using distributed inference and hierarchical models
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Coreference for learning to extract relations: yes, Virginia, coreference matters
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Scalable inference in latent variable models
Proceedings of the fifth ACM international conference on Web search and data mining
Identifying relations for open information extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Web-scale knowledge bases typically consist entirely of predicates over entities. However, the distributional properties of how those entities appear in text are equally important aspects of knowledge. If noun phrases mapped unambiguously to knowledge base entities, adding this knowledge would simply require counting. The many-to-many relationship between noun phrase mentions and knowledge base entities makes adding distributional knowledge about entities difficult. In this paper, we argue that this information should be explicitly included in web-scale knowledge bases. We propose a generative model that learns these distributional semantics by performing entity linking on the web, and we give some preliminary results that point to its usefulness.