Ristad, E. S. Maximum entropy modeling toolkit, release 1.6 beta, February 1998. Includes documentation which has an overview of MaxEnt modeling. Home/Search Document Not in Database Summary Related Articles Check |
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NYU: Description of the MENE Named Entity System as.. - Borthwick.. (1998) (16 citations) (Correct)
....expectation of g i in the training corpus. More complete discussions of M.E. including a description of the M.E. estimation procedure and references to some of the many new computational linguistics systems which are successfully using M.E. can be found in the following useful introductions: 5] [6]. As many authors have remarked, though, the key thing about M.E. is that it allows the modeler to concentrate on finding the features that characterize the problem while letting the M.E. estimation routine worry about assigning relative weights to the features. SYSTEM ARCHITECTURE MENE consists ....
....to concentrate on finding the features that characterize the problem while letting the M.E. estimation routine worry about assigning relative weights to the features. SYSTEM ARCHITECTURE MENE consists of a set of C and Perl modules which forms a wrapper around a publicly available M.E. toolkit [6] which computes the values of the alpha parameters of equation 2 from a pair of training files created by MENE. MENE s flexibility is due to the fact that it can incorporate just about any binary valued feature which is a function of the history and future of the current token. In the following ....
Ristad, E. S. Maximum entropy modeling toolkit, release 1.6 beta. http://www.mnemonic.com/software/memt, February 1998. Includes documentation which has an overview of MaxEnt modeling.
A Maximum Entropy Approach to Named Entity Recognition - Borthwick (1999) (11 citations) (Correct)
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Ristad, E. S. Maximum entropy modeling toolkit, release 1.6 beta, February 1998. Includes documentation which has an overview of MaxEnt modeling.
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