'Entity extraction' presentation slideshows

An Analysis of the AskMSR Question-Answering System

An Analysis of the AskMSR Question-Answering System. Eric Brill, Susan Dumais, and Michelle Banko Microsoft Research. From Proceedings of the EMNLP Conference, 2002. Goals. Evaluate contributions of components Explore strategies for predicting when answers are incorrect.

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Information Extraction

Information Extraction. Martin Ester Simon Fraser University School of Computing Science CMPT 884 Spring 2009. Information Extraction. Outline Introduction motivation, applications, issues Entity extraction hand-coded, machine learning

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Text Analytics and Taxonomies

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Opinion Mining : A Multifaceted Problem

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Agenda

Agenda. Introduce institution, research group, and project Outline automated information extraction problem Solution Using open frameworks Open ontology resources Current Status Domain experts engagement Conclusions. University of California, Irvine Medical Center.

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Amit Sheth Kno.e.sis Center Wright State University, Dayton, OH Thanks to the Kno.e.sis team, esp. Cartic Ramakrishanan

Trailblazing, Complex Hypothesis Evaluation, Abductive Reasoning and Semantic Web - exploring possible synergy ARO Workshop on Abductive Reasoning, Reasoning, Evidence and Intelligent Systems, August 23-24, 2007. Amit Sheth Kno.e.sis Center Wright State University, Dayton, OH

457 views • 35 slides

Best of Both Worlds Text Analytics and Text Mining

582 views • 32 slides

From sentence to sense level information retrieval

From sentence to sense level information retrieval. Bridging CONTENT and object with HOLTRAN Technology. Mission Statement .

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Empowering the Publishing Process with Semantic Technologies

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A Million Clues

A Million Clues. Miles Kehoe @ miles_kehoe Director of Professional Services. Our Mission. Enable Smarter Data Driven Applications Through t he Power of Search. What Are Data Driven Applications?.

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What Can Do for You!

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Critical Assessment of Information Extraction Systems in Biology (BioCreAtIvE)

Critical Assessment of Information Extraction Systems in Biology (BioCreAtIvE). Marc Colosimo Lynette Hirschman Alexander Morgan Alexander Yeh http://www.mitre.org/public/biocreative. Outline. Past evaluation KDD Cup 2002 Current evaluation BioCreAtIvE Summary.

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Wikitology Wikipedia as an Ontology

Wikitology Wikipedia as an Ontology. Tim Finin, Zareen Syed and Anupam Joshi University of Maryland, Baltimore County. http://ebiquity.umbc.edu/resource/html/id/250/. Motivation. Identifying the topics and concepts associated with text or text entities is a task common to many applications:

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Introduction to Natural Language Processing

Introduction to Natural Language Processing. (Lecture for CS410 Text Information Systems) Jan 28, 2011 ChengXiang Zhai Department of Computer Science University of Illinois, Urbana-Champaign. Lecture Plan. What is NLP? A brief history of NLP The current state of the art

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Entity Recognition via Querying DBpedia

Entity Recognition via Querying DBpedia. ElShaimaa Ali. Introduction.

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Architecture to Enable Large-scale Computational Analysis of Millions of Volumes

Architecture to Enable Large-scale Computational Analysis of Millions of Volumes. Yiming Sun, Stacy Kowalczyk , Beth Plale , J. Stephen Downie , Loretta Auvil , Boris Capitanu , Kirk Hess, Zong Peng , Guangchen Ruan , Aaron Todd, Jiaan Zeng. HTRC System Architecture.

134 views • 1 slides