Probability estimates
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Publications (31)

1Automatic Learning of Language Model Structure2004  Kevin Duh,Katrin Kirchhofflarge number of unseen word contexts. As a result, probability estimates are often unreliable, even when using standard smoothing...

2A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations2008  Peter Turney(Witten and Frank, 1999).4 The algorithm generates probability estimates for each class by fitting logistic regression models...

3Phrase Clustering for Smoothing TM Probabilities  or, How to Extract Paraphrases from Phrase TablesSMT system. We incorporated phraseclusterderived probability estimates into a baseline loglinear feature combination that...

4Stopping Criteria for Active Learning of Named Entity Recognition2008  Florian Laws,Hinrich Schützethis bin (”cnt”), gives an estimate of how much the probability estimates in the bin contribute to the error (absolute value)...

5Creating an Extended Named Entity Dictionary from Wikipediaand how to reﬁne the acquired dictionary by using probability estimates of the learned classiﬁer. Section 5 summarizes and...

6Handling Sparse Data by Successive Abstraction1996  Christer Samuelssonmore general contexts can be used to improve the probability estimates for more specific contexts. This idea is usually...

7Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation2002  Martin Volkvalues for verb V and noun N1 correspond to the probability estimates in (Ratnaparkhi, 1998) except that Ratnaparkhi includes...

8Computational Methods In The Analysis Of Verbal Behaviourmultidimensional scaling for studying the subjective probability estimates of Russian words. In the present COMPUTATIONAL...

9Comparing Word Relatedness Measures Based on Google $n$gramsof target words generated from a corpus to form probability estimates. As the cooccurrence statistics are corpusspecific...

10Estimation of Conditional Probabilities With Decision Trees and an Application to FineGrained POS Tagging2008  Helmut Schmid,Florian LawsCART (Breiman et al., 1984) fail to produce accurate probability estimates. They proposed to grow the decision trees to their...