The Frame-Based Module of the SUISEKI Information Extraction System
IEEE Intelligent Systems
Background and overview for KDD Cup 2002 task 1: information extraction from biomedical articles
ACM SIGKDD Explorations Newsletter
Information extraction from biomedical text
Journal of Biomedical Informatics - Special issue: Sublanguage
Optimizing syntax patterns for discovering protein-protein interactions
Proceedings of the 2005 ACM symposium on Applied computing
MedPost: a part-of-speech tagger for bioMedical text
Bioinformatics
Robust, applied morphological generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Language independent NER using a maximum entropy tagger
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
LSAT: learning about alternative transcripts in MEDLINE
Bioinformatics
A study on convolution kernels for shallow semantic parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Extracting protein-protein interactions using simple contextual features
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
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There has been much recent interest in the extraction of PPIs (protein-protein interactions) from biomedical texts, but in order to assist with curation efforts, the PPIs must be enriched with further information of biological interest. This paper describes the implementation of a system to extract and enrich PPIs, developed and tested using an annotated corpus of biomedical texts, and employing both machine-learning and rule-based techniques.