BLIMP covers all publications related to the fast-growing field of biomedical literature and text mining.
It is a one-stop resource, letting researchers find out who-does-what in the area and where it is published,
bridging across the many discipline-specific venues in which biomedical text-mining papers are published.
BLIMP is committed to both coverage and relevance. It started with a large collection of publications,
and constantly relies on authors to notify BLIMP through the submission form
about their newly accepted papers. Relevance of submission is determined by the editorial board
and each relevant paper is promptly added to the website.
BLIMP Contents
BLIMP via Category:
NLP and Ontologies in Biomedicine
Information Extraction in Biomedicine
Information Retrieval in Biomedicine
Text Categorization in Biomedicine
Hybrid Methods and Combined Data Sources
Background on NLP
Background on Information Extraction
Background in Information Retrieval and Text Categorization
Background on Text Mining
Reviews on Text Mining in Biomedicine
Other
Copyright 2004: BLIMP, Queen's University
The BLIMP project was partially funded by NSERC Discovery Grant # 298292-04, and by Queen's Univeristy Principal's Development Award
Last update on: July 25, 2005
Updated By: Anirudh Garg
Created
By: Limin Zheng