http://www.paperoftheweek.com Read. Learn. Discuss. Tue, 14 Aug 2007 01:35:31 +0000 http://backend.userland.com/rss092 en http://www.cs.nyu.edu/~mohri/postscript/hbka.pdf This paper is dealing with speech recognition. We will see that Speech recognition is a very deep process in Natural Language. It ios linked closely to translation. Let me begin by asking some fairly simple questions. 1) Why is language important for AI? Suppose I am confronted with "Alice" and I want ... http://www.paperoftheweek.com/2007/07/01/speech-recognition-with-weightedfinite-state-transducers/ Long paper this week, but it is the original on Support Vector Machines: Support-Vector Networks by Cortes and Vapnik.  Given my schedule, I may spread this out over two weeks. http://www.paperoftheweek.com/2007/06/25/potw-62407-support-vector-networks-by-cortes-and-vapnik/ In "A Sequential Algorithm for Training Text Classifiers" by David D. Lewis and William Gale, the authors put forth a new (at the time) method training text classifiers using an approach they call "uncertainty sampling" Section 1 outlines the problem of training, namely obtaining a good sample of text to be labeled for the trainer. ... http://www.paperoftheweek.com/2007/06/17/potw-61107-discussion-of-a-sequential-algorithm-for-training-text-classifiers-by-lewis-and-gale/ Introduction Google's earnings nearly doubled last year. http://news.com.com/Google+profit+nearly+doubles/2100-1030_3-6127658.html Unlike Microsoft that gets its money from shifting boxes Google relies on advertising to pay its way. There is a tremendous incentive to improve the quality of searching. The first reason is obvious. The better Google is perceived to perform as a search engine, the ... http://www.paperoftheweek.com/2007/06/17/googles-initiatives-in-artificial-intelligence/ More on text classification: "A Sequential Algorithm for Training Text Classifiers" by David Lewis and William Gale.  A little bit of an older paper, but still looks to be a good one. http://www.paperoftheweek.com/2007/06/11/potw-61107-a-sequential-algorithm-for-training-text-classifiers-by-lewis-and-gale/ We are reading "A Comparison of Event Models for Naive Bayes Text Classification" by McCallum and Nigam. Text classification is the process of assigning a document to one or more categories (we looked at classification/categorization earlier when exploring Support Vector Machines, SVMs).  My understanding of the difference between categorization and classification ... http://www.paperoftheweek.com/2007/06/09/potw-6307-discussion-of-a-comparison-of-event-models-for-naive-bayes-text-classification-by-andrew-mccallum-and-kamal-nigam/ Paper of the week for the week of June 3, 2007 is "A Comparison of event Models for Naive Bayes Text Classification" by Andrew McCallum and Kamal Nigam. This paper promises to shed some light on different ways of using bayesian classifiers. It might be useful to do ... http://www.paperoftheweek.com/2007/06/04/potw-6307-a-comparison-of-event-models-for-naive-bayes-text-classification-by-andrew-mccallum-and-kamal-nigam/ Yang's paper on on-line event detection ("A Study on Retrospective and On-Line Event Detection") discusses the use of common text retrieval techniques to automatically detect events in news streams. Imagine that you are responsible for monitoring all the major news feeds in every single country your company does business in order ... http://www.paperoftheweek.com/2007/06/02/potw-52107-discussion-of-a-study-on-retrospective-and-on-line-event-detection-by-yang-pierce-and-carbonell/ Due to the Memorial Day weekend, and visiting family, I am going to extend this paper into this week. http://www.paperoftheweek.com/2007/05/28/potw-52107-a-study-on-retrospective-and-on-line-event-detection-by-yang-pierce-and-carbonell-2/ Paper of the Week for May 20, 2007 is "A Study on Retrospective and On-Line Event Detection" by Yiming Yang, Tom Pierce and Jaime Carbonell. http://www.paperoftheweek.com/2007/05/21/potw-52107-a-study-on-retrospective-and-on-line-event-detection-by-yang-pierce-and-carbonell/