A maximum entropy approach to natural language processing
Computational Linguistics
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ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
SaRAD: a Simple and Robust Abbreviation Dictionary
Bioinformatics
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Bioinformatics
Medstract: creating large-scale information servers for biomedical libraries
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
A large scale, corpus-based approach for automatically disambiguating biomedical abbreviations
ACM Transactions on Information Systems (TOIS)
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Bioinformatics
Log-linear models for word alignment
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Scalable training of L1-regularized log-linear models
Proceedings of the 24th international conference on Machine learning
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AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Disambiguation of biomedical abbreviations
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
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
Data-driven computational linguistics at FaMAF-UNC, Argentina
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information
ACM Transactions on Asian Language Information Processing (TALIP)
An algorithm for local geoparsing of microtext
Geoinformatica
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This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized as a sequential alignment problem, which finds the optimal alignment (origins of abbreviation letters) between two strings (abbreviation and full form). We design a large amount of finegrained features that directly express the events where letters produce or do not produce abbreviations. We obtain the optimal combination of features on an aligned abbreviation corpus by using the maximum entropy framework. The experimental results show the usefulness of the alignment model and corpus for improving abbreviation recognition.