A comparison study of biomedical short form definition detection algorithms
TMBIO '06 Proceedings of the 1st international workshop on Text mining in bioinformatics
A term recognition approach to acronym recognition
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Journal of Computer Science and Technology
Disambiguation of biomedical abbreviations
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
A discriminative alignment model for abbreviation recognition
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A machine learning approach to acronym generation
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
Acronym extraction and disambiguation in large-scale organizational web pages
Proceedings of the 18th ACM conference on Information and knowledge management
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 2 - Volume 2
Abbreviation generation for Japanese multi-word expressions
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
Automated identification of synonyms in biomedical acronym sense inventories
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
Cross-language mining for acronyms and their completions from the web
DS'05 Proceedings of the 8th international conference on Discovery Science
Alignment-HMM-based extraction of abbreviations from biomedical text
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
A new clustering method for detecting rare senses of abbreviations in clinical notes
Journal of Biomedical Informatics
Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information
ACM Transactions on Asian Language Information Processing (TALIP)
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Motivation: Due to recent interest in the use of textual material to augment traditional experiments it has become necessary to automatically cluster, classify and filter natural language information. Results: The Simple and Robust Abbreviation Dictionary (SaRAD) provides an easy to implement, high performance tool for the construction of a biomedical symbol dictionary. The algorithms, applied to the MEDLINE document set, result in a high quality dictionary and toolset to disambiguate abbreviation symbols automatically. Availability: The SaRAD tool, supplementary information and pseudo-code are available at http://www.hpl.hp.com/shl/projects/abbrev.html