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ICML
2004
IEEE
14 years 6 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
AAAI
1994
13 years 6 months ago
Corpus-Driven Knowledge Acquisition for Discourse Analysis
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
Stephen Soderland, Wendy G. Lehnert
IFIP
1999
Springer
13 years 9 months ago
Assessing Instructional Technology
: In a relatively short period of time, educational technology has become a basic component of the instructional life of almost every College or University around the world. The wa...
Lawrence M. Baldwin, Panagiotis Takis Metaxas, Win...
CIKM
2011
Springer
12 years 5 months ago
Simultaneous joint and conditional modeling of documents tagged from two perspectives
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
Pradipto Das, Rohini K. Srihari, Yun Fu
CIKM
2005
Springer
13 years 10 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman