Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
HLT '91 Proceedings of the workshop on Speech and Natural Language
Web-based acquisition of Japanese katakana variants
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Person resolution in person search results: WebHawk
Proceedings of the 14th ACM international conference on Information and knowledge management
Named entity translation matching and learning: With application for mining unseen translations
ACM Transactions on Information Systems (TOIS)
Alleviating the Problem of Wrong Coreferences in Web Person Search
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Named entity disambiguation by leveraging wikipedia semantic knowledge
Proceedings of the 18th ACM conference on Information and knowledge management
Web personal name disambiguation based on reference entity tables mined from the web
Proceedings of the eleventh international workshop on Web information and data management
Clustering technique in multi-document personal name disambiguation
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
Profile based cross-document coreference using kernelized fuzzy relational clustering
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 1 - Volume 1
Person name disambiguation in web pages using social network, compound words and latent topics
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Person name disambiguation by bootstrapping
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Structural semantic relatedness: a knowledge-based method to named entity disambiguation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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
A robust web personal name information extraction system
Expert Systems with Applications: An International Journal
Exploiting Web querying for Web people search
ACM Transactions on Database Systems (TODS)
NAYOSE: a system for reference disambiguation of proper nouns appearing on web pages
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Explore person specific evidence in web person name disambiguation
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Evaluating Entity Linking with Wikipedia
Artificial Intelligence
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It is fairly common that different people are associated with the same name. In tracking person entities in a large document pool, it is important to determine whether multiple mentions of the same name across documents refer to the same entity or not. Previous approach to this problem involves measuring context similarity only based on co-occurring words. This paper presents a new algorithm using information extraction support in addition to co-occurring words. A learning scheme with minimal supervision is developed within the Bayesian framework. Maximum entropy modeling is then used to represent the probability distribution of context similarities based on heterogeneous features. Statistical annealing is applied to derive the final entity coreference chains by globally fitting the pairwise context similarities. Benchmarking shows that our new approach significantly outperforms the existing algorithm by 25 percentage points in overall F-measure.