Acrophile: an automated acronym extractor and server
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Information Extraction from the Web: System and Techniques
Applied Intelligence
A term recognition approach to acronym recognition
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic Acronym Dictionary Construction Based on Acronym Generation Types
IEICE - Transactions on Information and Systems
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
Processing natural language without natural language processing
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
A supervised learning approach to acronym identification
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
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Acronyms are widely used in many domains to abbreviate and stress important concepts. Due to its dynamicity and unbounded nature, manual attempts to compose a global scale repository of acronym-definition pairs result in an overwhelming amount of work and limited amount of results. Attending these shortcomings, the paper presents an automatic and non-supervised methodology to generate acronyms and extract their possible definitions from the Web. The method has been designed in order to minimize the set of constraints, offering a domain and -partially-language independent solution. The obtained results have been manually evaluated against the largest manually built acronym repository (Acronym Finder). The results obtained after this comparison show that the proposed automatic web-based approach is able to improve the coverage of manual attempts offering a high precision.