A linear space algorithm for computing maximal common subsequences
Communications of the ACM
CiteSeerx: an architecture and web service design for an academic document search engine
Proceedings of the 15th international conference on World Wide Web
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
Bioinformatics
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
An algorithm search engine for software developers
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
CollabSeer: a search engine for collaboration discovery
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Summarizing figures, tables, and algorithms in scientific publications to augment search results
ACM Transactions on Information Systems (TOIS)
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Improving algorithm search using the algorithm co-citation network
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Automatic tag recommendation for metadata annotation using probabilistic topic modeling
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
A classification scheme for algorithm citation function in scholarly works
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Automatic Detection of Pseudocodes in Scholarly Documents Using Machine Learning
ICDAR '13 Proceedings of the 2013 12th International Conference on Document Analysis and Recognition
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A significant number of scholarly articles in computer science and other disciplines contain algorithms that provide concise descriptions for solving a wide variety of computational problems. Automatically finding and extracting these algorithms in scholarly digital documents would make possible algorithm indexing, searching, discovering, and analysis. Currently, only well known algorithms are cataloged. In order to find new and cutting-edge algorithms, a user must manually search through a large collection of scholarly documents or author homepages. In this article, we describe an initial prototype of AlgorithmSeer, a system for extracting, indexing, and searching for algorithms in scholarly documents. The initial system has been tested as part of the CiteSeerX digital library and search engine. Current issues and future directions, such as algorithm information extraction and classification, are also discussed.