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BMCBI
2010
153views more  BMCBI 2010»
15 years 1 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
TOIS
2010
128views more  TOIS 2010»
15 years 3 days ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
COLING
2002
15 years 1 months ago
Unsupervised Named Entity Classification Models and their Ensembles
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Jae-Ho Kim, In-Ho Kang, Key-Sun Choi
IPM
2007
145views more  IPM 2007»
15 years 1 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin
CHI
2005
ACM
16 years 2 months ago
Grounding needs: achieving common ground via lightweight chat in large, distributed, ad-hoc groups
This paper reports on the emergent use of lightweight text chat to provide important grounding and facilitation information in a large, distributed, ad-hoc group of researchers pa...
Jeremy P. Birnholtz, Thomas A. Finholt, Daniel B. ...