Readings in natural language processing
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Making large-scale support vector machine learning practical
Advances in kernel methods
Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
The Perceptron Algorithm with Uneven Margins
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Disambiguation of proper names in text
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Two supervised learning approaches for name disambiguation in author citations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Grouping search-engine returned citations for person-name queries
Proceedings of the 6th annual ACM international workshop on Web information and data management
Disambiguating Web appearances of people in a social network
WWW '05 Proceedings of the 14th international conference on World Wide Web
Unsupervised personal name disambiguation
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Is Hillary Rodham Clinton the president?: disambiguating names across documents
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Using a knowledge base to disambiguate personal name in web search results
Proceedings of the 2007 ACM symposium on Applied computing
People search: Searching people sharing similar interests from the Web
Journal of the American Society for Information Science and Technology
Personal name classification in web queries
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Improving the performance of personal name disambiguation using web directories
Information Processing and Management: an International Journal
Identification of time-varying objects on the web
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
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
Ranking People Based on Metadata Analysis of Search Results
WISE '08 Proceedings of the 2008 international workshops on Web Information Systems Engineering
On co-authorship for author disambiguation
Information Processing and Management: an International Journal
Name Disambiguation Boosted by Latent Topics from Web Directories
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Applying Semantic Social Graphs to Disambiguate Identity References
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
JHU1: an unsupervised approach to person name disambiguation using web snippets
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
TITPI: web people search task using semi-supervised clustering approach
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UNN-WePS: web person search using co-present names and lexical Chains
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
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
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
Assigning Location Information to Display Individuals on a Map for Web People Search Results
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
The role of named entities in web people search
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Creating personal histories from the web using namesake disambiguation and event extraction
ICWE'07 Proceedings of the 7th international conference on Web engineering
Personal name disambiguation in web search results based on a semi-supervised clustering approach
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
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
Disambiguating identity web references using Web 2.0 data and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
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
People search using NDC classification system
Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval
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
Unsupervised name ambiguity resolution using a generative model
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
Named entity disambiguation in streaming data
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
How do humans distinguish different people with identical names on the web?
Proceedings of the 21st ACM international conference on Information and knowledge management
International Journal of Organizational and Collective Intelligence
Discovering filter keywords for company name disambiguation in twitter
Expert Systems with Applications: An International Journal
Learning an accurate entity resolution model from crowdsourced labels
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Timeline generation: tracking individuals on twitter
Proceedings of the 23rd international conference on World wide web
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Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). This paper describes a person resolution system, called WebHawk. Given a list of pages obtained by submitting a person query to a search engine, WebHawk facilitates person search in three steps: First of all, a filter removes those pages that contain no information about any person. Secondly, a cluster groups the remaining pages into different clusters, each for one specific person. To make the resulting clusters more meaningful, an extractor is used to induce query-oriented personal information from each page. Finally, a namer generates an informative description for each cluster so that users can find any specific person easily. The architecture of WebHawk is presented, and the four components are discussed in detail, with a separate evaluation of each component presented where appropriate. A user study shows that WebHawk complements most existing search engines and successfully improves users' experience of person search on the Web.