Introduction to the Theory of Computation: Preliminary Edition
Introduction to the Theory of Computation: Preliminary Edition
Background and overview for KDD Cup 2002 task 1: information extraction from biomedical articles
ACM SIGKDD Explorations Newsletter
PathwayFinder: paving the way towards automatic pathway extraction
APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
MaxMatcher: biological concept extraction using approximate dictionary lookup
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A short text modeling method combining semantic and statistical information
Information Sciences: an International Journal
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
| Hi-index | 0.00 |
With the rapid growth of articles of genomics research, it has become a challenge for biomedical researchers to access this ever-increasing quantity of information to understand the newest discovery of functions of proteins they are studying. To facilitate functional annotation of proteins by utilizing the huge amounts of biomedical literature and transforming the knowledge into easily accessible database formats, the text mining technique thus becomes essential. In this paper, we propose the method of sentence pattern mining to extract protein functions from biomedical literature. To recognize variants of function terms correctly, we identify morphological, syntactic, and semantic variation forms. The proposed methods can be used to aid database curators in annotating protein functions and to assist biologists and medical researchers in searching protein functions from biomedical literature.