Journal of Documentation
Acknowledgments and intellectual indebtedness: a bibliometric conjecture
Journal of the American Society for Information Science
Accounting for influence: acknowledgments in contemporary sociology
Journal of the American Society for Information Science
CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A maximum entropy approach to information extraction from semi-structured and free text
Eighteenth national conference on Artificial intelligence
Automatic document metadata extraction using support vector machines
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Journal of the American Society for Information Science and Technology
Efficient support vector classifiers for named entity recognition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Named entity recognition using an HMM-based chunk tagger
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Proceedings of the 3rd international conference on Knowledge capture
Use of support vector learning for chunk identification
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Use of support vector machines in extended named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Search engine driven author disambiguation
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
TableSeer: automatic table metadata extraction and searching in digital libraries
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Automatic Extraction of Data from 2-D Plots in Documents
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Disambiguating authors in academic publications using random forests
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Biomedical named entity recognition using conditional random fields and rich feature sets
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Tablerank: a ranking algorithm for table search and retrieval
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Automatic extraction of data points and text blocks from 2-dimensional plots in digital documents
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Finding algorithms in scientific articles
Proceedings of the 19th international conference on World wide web
SEERLAB: A system for extracting key phrases from scholarly documents
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
An algorithm search engine for software developers
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
SBP'12 Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Entity resolution using search engine results
Proceedings of the 21st ACM international conference on Information and knowledge management
A figure search engine architecture for a chemistry digital library
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Acknowledgments are widely used in scientific articles to express gratitude and credit collaborators. Despite suggestions that indexing acknowledgments automatically will give interesting insights, there is currently, to the best of our knowledge, no such system to track acknowledgments and index them. In this paper we introduce AckSeer, a search engine and a repository for automatically extracted acknowledgments in digital libraries. AckSeer is a fully automated system that scans items in digital libraries including conference papers, journals, and books extracting acknowledgment sections and identifying acknowledged entities mentioned within. We describe the architecture of AckSeer and discuss the extraction algorithms that achieve a F1 measure above 83%. We use multiple Named Entity Recognition (NER) tools and propose a method for merging the outcome from different recognizers. The resulting entities are stored in a database then made searchable by adding them to the AckSeer index along with the metadata of the containing paper/book. We build AckSeer on top of the documents in CiteSeerx digital library yielding more than 500,000 acknowledgments and more than 4 million mentioned entities.