'Data sparseness' diaporamas de présentation

The Hidden Vector State Language Model

458 views • 39 slides

SIMS 290-2: Applied Natural Language Processing

419 views • 35 slides

Speech Activities in CST

17 Jan 01 at CMU. Speech Activities in CST. Thomas Fang Zheng Center of Speech Technology State Key Lab of Intelligent Technology and Systems Department of Computer Science & Technology Tsinghua University fzheng@sp.cs.tsinghua.edu.cn, http://sp.cs.tsinghua.edu.cn/~fzheng/.

258 views • 25 slides

Enhancing Expert Finding Using Organizational Hierarchies

Enhancing Expert Finding Using Organizational Hierarchies. Maryam Karimzadehgan (U. Illinois Urbana-Champaign )*, Ryen White (MSR), Matthew Richardson (MSR) Presented by Ryen White Microsoft Research. * MSR Intern, Summer 08. Motivation for expert finding.

344 views • 21 slides

Enhancing Expert Finding Using Organizational Hierarchies

Enhancing Expert Finding Using Organizational Hierarchies. Maryam Karimzadehgan (U. Illinois Urbana-Champaign)*, Ryen White (MSR), Matthew Richardson (MSR) Presented by Ryen White Microsoft Research. * MSR Intern, Summer 08. Motivation for expert finding.

353 views • 21 slides

Q/A System

Q/A System. First Stage: Classification Project by: Abdullah Alotayq , Dong Wang, Ed Pham. Query Processing. Classification Package: Mallet Classifiers: Maxent , DecisionTree , C45, NaiveBayes , AdaBoost , Winnow, Balanced Winnow, Bagging Trainer . etc. Main Techniques. Features.

307 views • 20 slides

275 views • 19 slides

Naive Bayes Classifier

Naive Bayes Classifier. Bayesian Methods. Our focus this lecture Learning and classification methods based on probability theory. Bayes theorem plays a critical role in probabilistic learning and classification. Uses prior probability of each category given no information about an item.

641 views • 15 slides

Investigating Linguistic Knowledge In A Maximum Entropy Token-Based Language Model

but_IN. stocks_VBZ. kept_VBN. </s>. <s>. but_CC. stocks_NNS. kept_VBD. falling_VBG. Investigating Linguistic Knowledge In A Maximum Entropy Token-Based Language Model Jia Cui, Yi Su, Keith Hall, Frederick Jelinek @clsp.jhu. Example: A sentence in bigram METLM. Abstract:

161 views • 1 slides