Word association norms, mutual information, and lexicography
Computational Linguistics
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A vector space model for automatic indexing
Communications of the ACM
Learning object identification rules for information integration
Information Systems - Data extraction, cleaning and reconciliation
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Word clustering and disambiguation based on co-occurrence data
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Using mutual information to resolve query translation ambiguities and query term weighting
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Semantic integration in text: from ambiguous names to identifiable entities
AI Magazine - Special issue on semantic integration
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
Discovering informative connection subgraphs in multi-relational graphs
ACM SIGKDD Explorations Newsletter
Entity Resolution with Markov Logic
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Adaptive graphical approach to entity resolution
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
SOFIE: a self-organizing framework for information extraction
Proceedings of the 18th international conference on World wide web
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
| Hi-index | 0.00 |
Ambiguities, which are inherently present in natural languages represent a challenge of determining the actual identities of entities mentioned in a document (e.g., Paris can refer to a city in France but it can also refer to a small city in Texas, USA or to a 1984 film directed by Wim Wenders having title Paris, Texas). Disambiguation is a problem that can be successfully solved by entity resolution methods.This paper studies various methods for estimating relatedness between entities, used in collective entity resolution. We define a unified entity resolution approach, capable of using implicit as well as explicit relatedness for collectively identifying in-text entities. As a relatedness measure, we propose a method, which expresses relatedness using the heterogeneous relations of a domain ontology. We also experiment with other relatedness measures, such as using statistical learning of co-occurrences of two entities or using content similarity between them. Evaluation on real data shows that the new methods for relatedness estimation give good results.