Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Disambiguating Web appearances of people in a social network
WWW '05 Proceedings of the 14th international conference on World Wide Web
Person resolution in person search results: WebHawk
Proceedings of the 14th ACM international conference on Information and knowledge management
A Network Analysis Model for Disambiguation of Names in Lists
Computational & Mathematical Organization Theory
Unsupervised personal name disambiguation
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Contextual search and name disambiguation in email using graphs
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Web Appearance Disambiguation of Personal Names Based on Network Motif
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Mining Domain-Specific Thesauri from Wikipedia: A Case Study
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Wikify!: linking documents to encyclopedic knowledge
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Towards breaking the quality curse.: a web-querying approach to web people search.
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Enhancing text clustering by leveraging Wikipedia semantics
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Information Retrieval
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
The SemEval-2007 WePS evaluation: establishing a benchmark for the web people search task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Feature generation for text categorization using world knowledge
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Semantics and knowledge organization
Annual Review of Information Science and Technology
Ontology-driven automatic entity disambiguation in unstructured text
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Name discrimination by clustering similar contexts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Transferring structural markup across translations using multilingual alignment and projection
Proceedings of the 10th annual joint conference on Digital libraries
Learning to link entities with knowledge base
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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
A generalized method for word sense disambiguation based on wikipedia
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Exploring entity relations for named entity disambiguation
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Local and global algorithms for disambiguation to Wikipedia
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Collective entity linking in web text: a graph-based method
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A bipartite graph based social network splicing method for person name disambiguation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Exploiting Web querying for Web people search
ACM Transactions on Database Systems (TODS)
Robust disambiguation of named entities in text
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Targeted disambiguation of ad-hoc, homogeneous sets of named entities
Proceedings of the 21st international conference on World Wide Web
Named entity recognition and disambiguation using linked data and graph-based centrality scoring
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
Named entity disambiguation in streaming data
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Linking named entities to any database
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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
Entity Disambiguation with Freebase
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Improved text annotation with Wikipedia entities
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Resolving homonymy with correlation clustering in scholarly digital libraries
Proceedings of the 22nd international conference on World Wide Web companion
Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation?
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Re-ranking for joint named-entity recognition and linking
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploring re-ranking approaches for joint named-entityrecognition and linking
Proceedings of the sixth workshop on Ph.D. students in information and knowledge management
Cross lingual entity linking with bilingual topic model
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Large-scale linked data integration using probabilistic reasoning and crowdsourcing
The VLDB Journal — The International Journal on Very Large Data Bases
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Name ambiguity problem has raised an urgent demand for efficient, high-quality named entity disambiguation methods. The key problem of named entity disambiguation is to measure the similarity between occurrences of names. The traditional methods measure the similarity using the bag of words (BOW) model. The BOW, however, ignores all the semantic relations such as social relatedness between named entities, associative relatedness between concepts, polysemy and synonymy between key terms. So the BOW cannot reflect the actual similarity. Some research has investigated social networks as background knowledge for disambiguation. Social networks, however, can only capture the social relatedness between named entities, and often suffer the limited coverage problem. To overcome the previous methods' deficiencies, this paper proposes to use Wikipedia as the background knowledge for disambiguation, which surpasses other knowledge bases by the coverage of concepts, rich semantic information and up-to-date content. By leveraging Wikipedia's semantic knowledge like social relatedness between named entities and associative relatedness between concepts, we can measure the similarity between occurrences of names more accurately. In particular, we construct a large-scale semantic network from Wikipedia, in order that the semantic knowledge can be used efficiently and effectively. Based on the constructed semantic network, a novel similarity measure is proposed to leverage Wikipedia semantic knowledge for disambiguation. The proposed method has been tested on the standard WePS data sets. Empirical results show that the disambiguation performance of our method gets 10.7% improvement over the traditional BOW based methods and 16.7% improvement over the traditional social network based methods.