Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Acrophile: an automated acronym extractor and server
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A (acronyms)
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
Boosting over Groups and Its Application to Acronym-Expansion Extraction
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Statistical Model for Japanese Abbreviations
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Automatic Acronym Dictionary Construction Based on Acronym Generation Types
IEICE - Transactions on Information and Systems
A discriminative alignment model for abbreviation recognition
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using the web to disambiguate acronyms
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Identifying comparable entities on the web
Proceedings of the 18th ACM conference on Information and knowledge management
Acronym extraction and disambiguation in large-scale organizational web pages
Proceedings of the 18th ACM conference on Information and knowledge management
Seeking Acronym Definitions: a Web-based Approach
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Seeking Acronym Definitions: a Web-based Approach
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
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
Automatically identifying the source words of lexical blends in english
Computational Linguistics
Statistical model for Japanese abbreviations
Intelligent Data Analysis - Artificial Intelligence
Automatic extraction of acronym definitions from the Web
Applied Intelligence
EvoBIO'11 Proceedings of the 9th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Using second-order vectors in a knowledge-based method for acronym disambiguation
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Learning conditional random fields with latent sparse features for acronym expansion finding
Proceedings of the 20th ACM international conference on Information and knowledge management
Experimentation of an automatic resolution method for protein abbreviations in full-text papers
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Entity linking with effective acronym expansion, instance selection and topic modeling
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information
ACM Transactions on Asian Language Information Processing (TALIP)
Mining acronym expansions and their meanings using query click log
Proceedings of the 22nd international conference on World Wide Web
An algorithm for local geoparsing of microtext
Geoinformatica
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This paper addresses the task of finding acronym-definition pairs in text Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions In this paper, we present a supervised learning approach to the acronym identification task Our approach reduces the search space of the supervised learning system by putting some weak constraints on the kinds of acronym-definition pairs that can be identified We obtain results comparable to hand-crafted systems that use stronger constraints We describe our method for reducing the search space, the features used by our supervised learning system, and our experiments with various learning schemes.