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Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics

Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics

Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics 2a. Course projects Jonas Kuhn Universität Potsdam, 2007 Leistungen im Kurs Übungsaufgaben (werden nicht benotet) 2-3 größere Programmieraufgaben (Abgabe; werden bewertet)

By emily
(303 views)

Paul Kantor Rutgers May 14, 2007

Paul Kantor Rutgers May 14, 2007

Bayesian Models, Prior Knowledge, and Data Fusion for Monitoring Messages and Identifying Authors. Paul Kantor Rutgers May 14, 2007. Outline. The Team Bayes’ Methods Method of Evaluation A toy Example Expert Knowledge Efficiency issues Entity Resolution Conclusions. Many collaborator.

By arleen
(284 views)

Machine Reading of Web Text

Machine Reading of Web Text

Machine Reading of Web Text . Oren Etzioni Turing Center University of Washington http://turing.cs.washington.edu. Rorschach Test. Rorschach Test for CS . Moore’s Law? . Storage Capacity? . Number of Web Pages? . Number of Facebook Users?. Turing Center Foci.

By colum
(123 views)

Web and Intranet Search: What‘s Next After Google* ?

Web and Intranet Search: What‘s Next After Google* ?

Web and Intranet Search: What‘s Next After Google* ?. Moderator: Gerhard Weikum (Max-Planck Institute for CS) Panelists: Eric Brill (Microsoft Research) Hector Garcia-Molina (Stanford University) Jan Pedersen (Yahoo!)

By Mercy
(188 views)

Crawling, extraction and pre-processing

Crawling, extraction and pre-processing

Crawling, extraction and pre-processing. Crawling and Extraction. Linked Data Similar to HTML crawling, but the the crawler needs to parse RDF/XML (and others) to extract URIs to be crawled Crawling of complete datasets can be faster using Semantic Sitemap / VOID descriptions

By caspar
(147 views)

Information Integration Entity Resolution – 21.7

Information Integration Entity Resolution – 21.7

Information Integration Entity Resolution – 21.7 . Presented By: Deepti Bhardwaj Roll No: 223_103 . Contents. 21.7 Entity Resolution 21.7.1 Deciding Whether Records Represent a Common Entity 21.7.2 Merging Similar Records

By cathal
(124 views)

Graph Identification

Graph Identification

Graph Identification. Lise Getoor University of Maryland, College Park. Some Acknowledgements. Students: Collaborators: Funding Sources:. Indrajit Bhattacharya Mustafa Bilgic Rezarta Islamaj Louis Licamele Qing Lu Galileo Namata Vivek Sehgal Prithvi Sen Elena Zheleva.

By chaim
(141 views)

Exploiting Context Analysis for Combining Multiple Entity Resolution Systems

Exploiting Context Analysis for Combining Multiple Entity Resolution Systems

Exploiting Context Analysis for Combining Multiple Entity Resolution Systems. Zhaoqi Chen Dmitri V.kalashnikov Sharad Mehrotra. -Ramu Bandaru. Table of Contents. Introduction Related Work Problem Definition

By joshua
(131 views)

SRL: The Next Decade

SRL: The Next Decade

SRL: The Next Decade. Lise Getoor University of Maryland, College Park. Past: Focus on Representations. LBN. RBN. SRM. PRISM. RDBN. RPM. CLP(BN). SLR. BLOG. PLL. pRN. PER. SLP. PRM. MLN. HMRF. RMN. RNM. DAPER. RDBN. RDN. BLP. SGLR. Present: Focus on Tasks.

By benson
(76 views)

Overcoming the Quality Curse

Overcoming the Quality Curse

Overcoming the Quality Curse. Sharad Mehrotra University of California, Irvine. Collaborators/Students (Current) Dmitri Kalashnikov, Yasser Altowim, Hotham Altwaijry, Jeffrey Xu, Liyan Zhang Alumini Stella Zhaoqi Chen, Rabia Nuray-Turan, Virag Kothari. Beyond DASFAA 2003 paper.

By krista
(79 views)

E ntity R esolution in N etwork D ata

E ntity R esolution in N etwork D ata

E ntity R esolution in N etwork D ata. Lise Getoor University of Maryland, College Park. Entity Resolution . The Problem The Algorithms Graph-based Clustering (GBC) Probabilistic Model (LDA-ER) The Tool The Big Picture. The Entity Resolution Problem. James Smith. John Smith.

By konala
(95 views)

An Overview of Data Analytics at DIMACS and DyDAn

An Overview of Data Analytics at DIMACS and DyDAn

An Overview of Data Analytics at DIMACS and DyDAn. Paul Kantor Fred Roberts. What is DIMACS?. DIMACS was formed as an NSF Science and Technology center in 1989 to foster research & education programs at the interface between discrete math and theoretical computer science

By haven
(109 views)

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance. Liyan Zhang, Ronen Vaisenberg , Sharad Mehrotra , Dmitri V. Kalashnikov Department of Computer Science University of California, Irvine This material is based upon work supported by the NSF grants. Outline.

By abner
(168 views)

Graph Identification

Graph Identification

Graph Identification. Lise Getoor University of Maryland, College Park. Some Acknowledgements. Students: Collaborators: Funding Sources:. Indrajit Bhattacharya Mustafa Bilgic Rezarta Islamaj Louis Licamele Qing Lu Galileo Namata Vivek Sehgal Prithvi Sen Elena Zheleva.

By reese-morse
(107 views)

Graph Identification

Graph Identification

Graph Identification. Lise Getoor University of Maryland, College Park. Graphs and Networks everywhere …. The Web, social networks, communication networks, financial transaction networks, biological networks, etc. Internet Map, Burch and Cheswick. Food Web, Martinez.

By griffin-albert
(217 views)

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance

Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance. Liyan Zhang, Ronen Vaisenberg , Sharad Mehrotra , Dmitri V. Kalashnikov Department of Computer Science University of California, Irvine This material is based upon work supported by the NSF grants. Outline.

By dpope
(0 views)

Overcoming the Quality Curse

Overcoming the Quality Curse

Overcoming the Quality Curse. Sharad Mehrotra University of California, Irvine. Collaborators/Students (Current) Dmitri Kalashnikov, Yasser Altowim, Hotham Altwaijry, Jeffrey Xu, Liyan Zhang Alumini Stella Zhaoqi Chen, Rabia Nuray-Turan, Virag Kothari. Beyond DASFAA 2003 paper.

By cervantez
(0 views)

Using Transliteration with Entity Resolution for Arabic Datasets

Using Transliteration with Entity Resolution for Arabic Datasets

Using Transliteration with Entity Resolution for Arabic Datasets. Marwah Alian Ghazi Al- Naymat Banda Ramadan. Real Time Entity Resolution. Entity Resolution : is the process of Identifying records that represents the same real world entity. Real world entity could be:

By gstrickland
(2 views)

Collective Relational Clustering

Collective Relational Clustering

Collective Relational Clustering. Indrajit Bhattacharya Assistant Professor Department of CSA Indian Institute of Science. Relational Data. Recent abundance of relational (‘non-iid’) data Internet Social networks Citations in scientific literature Biological networks

By lrodgers
(0 views)

SRL: The Next Decade

SRL: The Next Decade

SRL: The Next Decade. Lise Getoor University of Maryland, College Park. Past: Focus on Representations. LBN. RBN. SRM. PRISM. RDBN. RPM. CLP(BN). SLR. BLOG. PLL. pRN. PER. SLP. PRM. MLN. HMRF. RMN. RNM. DAPER. RDBN. RDN. BLP. SGLR. Present: Focus on Tasks.

By bgloria
(0 views)

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