Paper Info
Title
AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries
Abstract
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.
Year
DOI
Venue
2012
10.1145/2232817.2232852
JCDL
Keywords
Field
DocType
automated system,digital library,acknowledgment section,acknowledged entity,entity recognition,ackseer index,conference paper,credit collaborator,search engine,f1 measure,citeseerx digital library,indexation,information extraction
Metadata,Architecture,World Wide Web,Search engine,Information retrieval,Computer science,Search engine indexing,Information extraction,Digital library,Merge (version control),Named-entity recognition
Conference
Citations 
PageRank 
References 
14
0.79
24
Authors
3
Name
Order
Citations
PageRank
Madian Khabsa123718.81
Pucktada Treeratpituk217711.12
C. Lee Giles3111541549.48