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» Large-scale extraction and use of knowledge from text
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BMCBI
2008
117views more  BMCBI 2008»
15 years 1 months ago
Cascaded classifiers for confidence-based chemical named entity recognition
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Peter Corbett, Ann A. Copestake
WWW
2011
ACM
14 years 8 months ago
Web scale NLP: a case study on url word breaking
This paper uses the URL word breaking task as an example to elaborate what we identify as crucialin designingstatistical natural language processing (NLP) algorithmsfor Web scale ...
Kuansan Wang, Christopher Thrasher, Bo-June Paul H...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 2 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
ISMB
1993
15 years 3 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
ISPW
2006
IEEE
15 years 7 months ago
Project Replayer - An Investigation Tool to Revisit Processes of Past Projects
In order to help knowledge acquirement and accumulation from past experiences, we propose a KFC (Knowledge Feedback Cycle) framework among engineers and researchers. Three tools (E...
Keita Goto, Noriko Hanakawa, Hajimu Iida