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Technology A scalable gibbs sampler for probabilistic entity linking

A Scalable Gibbs Sampler for Probabilistic Entity Linking Neil Houlsby1 ?, and Massimiliano Ciaramita2 1 University of Cambridge [email protected] 2 Google Research, Zu¨rich…

Documents One Click Search

IntentSearch: Capturing User Intention for One-Click Internet Image Search Presented by Nayana.K.Raj 0941943 PAACET 26-07-2012 engine which helps to interpret users’ search…

Science Analysing Word Meaning over Time by Exploiting Temporal Random Indexing

Analysing Word Meaning over Time by Exploiting Temporal Random Indexing Pierpaolo Basile, Annalina Caputo and Giovanni Semeraro Department of Computer Science – University…

Software Scalable sentiment classification for big data analysis using naive bayes classifier

2013 IEEE International Conference on Big Data Scalable Sentiment Classification for Big DataAnalysis Using Naive Bayes Classifier Bingwei Liu, Erik Blasch, Yu Chen, Dan…

Documents Growing Faith - W v Grant

Growing Faith by W. V. Grant Contents 1 I Don’t Have The Faith..........................................................5 2 I Am Reaping What I Sowed...............................................35…

Documents Part of Speech Tagging & Hidden Markov Models Mitch Marcus CSE 391.

Part of Speech Tagging & Hidden Markov Models Mitch Marcus CSE 391 NLP Task I â Determining Part of Speech Tags The Problem: Word POS listing in Brown Corpus heat noun…

Documents Kernels Usman Roshan CS 675 Machine Learning. Feature space representation Consider two classes...

Kernels Usman Roshan CS 675 Machine Learning Feature space representation Consider two classes shown below Data cannot be separated by a hyperplane Feature space representation…

Documents Part 4: Supervised Methods of Word Sense Disambiguation.

Part 4: Supervised Methods of Word Sense Disambiguation Outline What is Supervised Learning? Task Definition Single Classifiers Naïve Bayesian Classifiers Decision Lists…

Documents Semi-Supervised Learning over Text Tom M. Mitchell Machine Learning Department Carnegie Mellon...

Semi-Supervised Learning over Text Tom M. Mitchell Machine Learning Department Carnegie Mellon University September 2006 Modified by Charles Ling Statistical learning methods…

Documents ApMl (All Purpose Machine Learning) Toolkit

ApMl (All Purpose Machine Learning) Toolkit David W. Miller and Helen Howell Semantic Web Final Project Spring 2002 Department of Computer Science University of Georgia www.cs.uga.edu/~miller/SemWeb…