Objective function
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Publications (231)

1Efficient Optimization of an MDLInspired Objective Function for Unsupervised PartOfSpeech TaggingLinguistics Efficient Optimization of an MDLInspired Objective Function for Unsupervised PartofSpeech Tagging Ashish Vaswani1...

2Bayesian Grammar Induction for Language Modeling1995  Stanley F. Chenspace of probabilistic contextfree grammars. The objective function is taken to be some measure dependent on the training...

3Subtree Extractive Summarization via Submodular Maximizationsummary the element si that has the largest ratio of the objective function gain to the additional cost, unless adding it violates...

4Improving machine translation by training against an automatic semantic frame based evaluation metricmachine translation system against a semantic frame based objective function, MEANT, produces more robustly adequate translations...

5Training Conditional Random Fields with Multivariate Evaluation Measuressegmentation Fscore. This inconsistency between the objective function during training and the task evaluation measure might...

6WSD as a Distributed Constraint Optimization Problem2010  Siva Reddy,Abhilash Inumellavariables such that a given global objective function is maximized. The objective function is described as the summation over...

7Summarization Through Submodularity and Dispersiongeneric objective function that can be widely applied to several summarization scenarios. This objective function is the sum...

8ConstraintBased Sentence Compression: An Integer Programming Approach2006  James Clarke,Mirella Lapata(or minimised) is referred to as the objective function. Both the objective function and constraints must be linear. A number...

9Latent Semantic Matching: Application to Crosslanguage Text Categorization without Alignment InformationWSHS . (4) On the other hand, we can directly fomulate objective function of unsupervised mapping. If the topic proportions are...

10Annealing Techniques For Unsupervised Statistical Language Learning2004  Noah A. Smith,Jason Eisneroptimizing a single objective function over both ~θ and p˜. DA can also be seen this way; DA’s objective function at a given β is...