54 Identifinder PPTs View free & download

Operation of Radionuclide Identification Devices (RID) IdentiFINDER Ultra - Operation of Radionuclide Identification Devices (RID) IdentiFINDER Ultra

Operation of Radionuclide Identification Devices (RID) IdentiFINDER Ultra

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RID Data transfer PowerPoint PPT Presentation

RID Data transfer - RID Data transfer IdentiFINDER Ultra

RID Data transfer IdentiFINDER Ultra

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Named Entity Recognition PowerPoint PPT Presentation

Named Entity Recognition - Classify entities into NE categories ... 5 other name classes. START_OF_SENTENCE. END_OF_SENTENCE. CIS 530 - Intro to NLP. 8. IdentiFinder (2) ...

Classify entities into NE categories ... 5 other name classes. START_OF_SENTENCE. END_OF_SENTENCE. CIS 530 - Intro to NLP. 8. IdentiFinder (2) ...

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Matthew W' Bilotti PowerPoint PPT Presentation

Matthew W' Bilotti - MXTerminator, RASP Tokenization. POS Tagging. CLAWS, Brill. Syntax. LINK, Stanford, RASP. Semantics. ASSERT. Annotators, continued. Named Entities. BBN Identifinder ...

MXTerminator, RASP Tokenization. POS Tagging. CLAWS, Brill. Syntax. LINK, Stanford, RASP. Semantics. ASSERT. Annotators, continued. Named Entities. BBN Identifinder ...

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Principles of Radiation Detection PowerPoint PPT Presentation

Principles of Radiation Detection - Principles of Radiation Detection Operational Radiological Safety Course U.S. Army Chemical Biological Radiological & Nuclear School Edwin R. Bradley Radiological Lab

Principles of Radiation Detection Operational Radiological Safety Course U.S. Army Chemical Biological Radiological & Nuclear School Edwin R. Bradley Radiological Lab

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Quasi-Synchronous Grammars PowerPoint PPT Presentation

Quasi-Synchronous Grammars - Quasi-Synchronous Grammars Based on key observations in MT: translated sentences often have some isomorphic syntactic structure, but not usually in entirety.

Quasi-Synchronous Grammars Based on key observations in MT: translated sentences often have some isomorphic syntactic structure, but not usually in entirety.

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Identifying Opinion Holders for Question Answering in Opinion Texts PowerPoint PPT Presentation

Identifying Opinion Holders for Question Answering in Opinion Texts - The opinion sentence contains more than one likely holder entity ' ... Identify all possible opinion holder entities in a sentence ...

The opinion sentence contains more than one likely holder entity ' ... Identify all possible opinion holder entities in a sentence ...

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Named%20Entity%20Recognition PowerPoint PPT Presentation

Named%20Entity%20Recognition - Title: PowerPoint Presentation Author: hamish Last modified by: declerck Created Date: 10/2/2002 2:07:34 PM Document presentation format: Bildschirmpr sentation

Title: PowerPoint Presentation Author: hamish Last modified by: declerck Created Date: 10/2/2002 2:07:34 PM Document presentation format: Bildschirmpr sentation

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(Linear-chain) Conditional Random Fields PowerPoint PPT Presentation

(Linear-chain) Conditional Random Fields - (Linear-chain) Conditional Random Fields [Lafferty, McCallum, Pereira 2001] Undirected graphical model, trained to maximize conditional probability of outputs given ...

(Linear-chain) Conditional Random Fields [Lafferty, McCallum, Pereira 2001] Undirected graphical model, trained to maximize conditional probability of outputs given ...

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Information Extraction Data Mining and Topic Discovery with Probabilistic Models PowerPoint PPT Presentation

Information Extraction Data Mining and Topic Discovery with Probabilistic Models - Slide Material for DHS Reverse Site Visit

Slide Material for DHS Reverse Site Visit

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Information Extraction : Theory and Practice PowerPoint PPT Presentation

Information Extraction : Theory and Practice - ACAI 05/SEKT 05 ADVANCED COURSE ON KNOWLEDGE DISCOVERY Information Extraction : Theory and Practice Ronen Feldman Bar-Ilan University

ACAI 05/SEKT 05 ADVANCED COURSE ON KNOWLEDGE DISCOVERY Information Extraction : Theory and Practice Ronen Feldman Bar-Ilan University

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Toward Large-Scale Shallow Semantics for Higher-Quality NLP PowerPoint PPT Presentation

Toward Large-Scale Shallow Semantics for Higher-Quality NLP - What is this Semantics in the Semantic Web, and How can You Get It? Toward Large-Scale Shallow Semantics for Higher-Quality NLP Eduard Hovy

What is this Semantics in the Semantic Web, and How can You Get It? Toward Large-Scale Shallow Semantics for Higher-Quality NLP Eduard Hovy

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Information Extraction, Data Mining and Joint Inference PowerPoint PPT Presentation

Information Extraction, Data Mining and Joint Inference - Information Extraction, Data Mining and Joint Inference Andrew McCallum Computer Science Department University of Massachusetts Amherst Joint work with Charles Sutton ...

Information Extraction, Data Mining and Joint Inference Andrew McCallum Computer Science Department University of Massachusetts Amherst Joint work with Charles Sutton ...

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Information Extraction with Markov Random Fields PowerPoint PPT Presentation

Information Extraction with Markov Random Fields - Information Extraction with Markov Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

Information Extraction with Markov Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

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Information%20Extraction%20with%20Conditional%20Random%20Fields PowerPoint PPT Presentation

Information%20Extraction%20with%20Conditional%20Random%20Fields - Information Extraction with Conditional Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

Information Extraction with Conditional Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

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Information Extraction with Markov Random Fields - Information Extraction with Markov Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

Information Extraction with Markov Random Fields Andrew McCallum University of Massachusetts Amherst Joint work with Aron Culotta, Wei Li and Ben Wellner

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9th Area Medical Laboratory AML - 9th Area Medical Laboratory AML

9th Area Medical Laboratory AML

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Toward Unified Graphical Models of Information Extraction and Data Mining PowerPoint PPT Presentation

Toward Unified Graphical Models of Information Extraction and Data Mining - Toward Unified Graphical Models of Information Extraction and Data Mining Andrew McCallum Computer Science Department University of Massachusetts Amherst

Toward Unified Graphical Models of Information Extraction and Data Mining Andrew McCallum Computer Science Department University of Massachusetts Amherst

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Information Extraction, Conditional Random Fields, and Social Network Analysis PowerPoint PPT Presentation

Information Extraction, Conditional Random Fields, and Social Network Analysis - people.cs.umass.edu

people.cs.umass.edu

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Named Entity Recognition - 'Automatic identification of selected types of entities, relations or events in ... Anaphora resolution. Cross-document. IE Techniques and tasks. Performance: ...

'Automatic identification of selected types of entities, relations or events in ... Anaphora resolution. Cross-document. IE Techniques and tasks. Performance: ...

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Unified Models of Information Extraction and Data Mining with Application to Social Network Analysis PowerPoint PPT Presentation

Unified Models of Information Extraction and Data Mining with Application to Social Network Analysis - people.cs.umass.edu

people.cs.umass.edu

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Information Extraction, Data Mining PowerPoint PPT Presentation

Information Extraction, Data Mining - Information Extraction, Data Mining & Joint Inference Andrew McCallum Computer Science Department University of Massachusetts Amherst Joint work with Charles Sutton ...

Information Extraction, Data Mining & Joint Inference Andrew McCallum Computer Science Department University of Massachusetts Amherst Joint work with Charles Sutton ...

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Information Extraction, Conditional Random Fields, and Social Network Analysis - people.cs.umass.edu

people.cs.umass.edu

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Learning to Classify Text PowerPoint PPT Presentation

Learning to Classify Text - Some examples of text classification problems. topical classification vs genre classification vs sentiment detection vs ... Classify jokes as Funny, NotFunny. ...

Some examples of text classification problems. topical classification vs genre classification vs sentiment detection vs ... Classify jokes as Funny, NotFunny. ...

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Toward Unified Graphical Models of Information Extraction and Data Mining - people.cs.umass.edu

people.cs.umass.edu

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Information Extraction from the World Wide Web PowerPoint PPT Presentation

Information Extraction from the World Wide Web - Information Extraction from the World Wide Web Andrew McCallum University of Massachusetts Amherst William Cohen Carnegie Mellon University

Information Extraction from the World Wide Web Andrew McCallum University of Massachusetts Amherst William Cohen Carnegie Mellon University

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MandarinEnglish Information MEI: Investigating Translingual Speech Retrieval Johns Hopkins Universit PowerPoint PPT Presentation

MandarinEnglish Information MEI: Investigating Translingual Speech Retrieval Johns Hopkins Universit - Helen Meng Chinese University of Hong Kong. Erika Grams Advanced Analytic Tools ... President Bill Clinton and Chinese President Jiang Zemin engaged ...

Helen Meng Chinese University of Hong Kong. Erika Grams Advanced Analytic Tools ... President Bill Clinton and Chinese President Jiang Zemin engaged ...

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Information Extraction from the World Wide Web - Information Extraction from the World Wide Web Andrew McCallum University of Massachusetts Amherst William Cohen Carnegie Mellon University

Information Extraction from the World Wide Web Andrew McCallum University of Massachusetts Amherst William Cohen Carnegie Mellon University

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Information%20Extraction%20and%20Integration:%20an%20Overview PowerPoint PPT Presentation

Information%20Extraction%20and%20Integration:%20an%20Overview - Extracting Job Openings from the Web. foodscience.com-Job2. JobTitle: Ice ... MACWORLD EXPO, NEW YORK--July 17, 2002--Apple's first retail store in New York ...

Extracting Job Openings from the Web. foodscience.com-Job2. JobTitle: Ice ... MACWORLD EXPO, NEW YORK--July 17, 2002--Apple's first retail store in New York ...

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Mining Wiki Resources for Multilingual Named Entity Recognition PowerPoint PPT Presentation

Mining Wiki Resources for Multilingual Named Entity Recognition - Mining Wiki Resources for Multilingual Named Entity Recognition ... which includes articles on Fenway Park (a facility), the Republic of ...

Mining Wiki Resources for Multilingual Named Entity Recognition ... which includes articles on Fenway Park (a facility), the Republic of ...

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Discovering and Utilizing Structure in Large Unstructured Text Datasets PowerPoint PPT Presentation

Discovering and Utilizing Structure in Large Unstructured Text Datasets - ... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Bill Gates CEO Microsoft. Bill Veghte VP Microsoft. Richard Stallman founder ...

... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Bill Gates CEO Microsoft. Bill Veghte VP Microsoft. Richard Stallman founder ...

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Elaborazione del linguaggio naturale PowerPoint PPT Presentation

Elaborazione del linguaggio naturale - Title: PowerPoint Presentation Last modified by: Michele Created Date: 1/1/1601 12:00:00 AM Document presentation format: Presentazione su schermo

Title: PowerPoint Presentation Last modified by: Michele Created Date: 1/1/1601 12:00:00 AM Document presentation format: Presentazione su schermo

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62nd Civil Support Team (Weapons of Mass Destruction) PowerPoint PPT Presentation

62nd Civil Support Team (Weapons of Mass Destruction) - 62nd Civil Support Team (Weapons of Mass Destruction) Definition of Weapons of Mass Destruction (WMD) The term weapon of mass destruction means any weapon or ...

62nd Civil Support Team (Weapons of Mass Destruction) Definition of Weapons of Mass Destruction (WMD) The term weapon of mass destruction means any weapon or ...

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DOE/NNSA Radiological Assistance Program (RAP) Capabilities Overview PowerPoint PPT Presentation

DOE/NNSA Radiological Assistance Program (RAP) Capabilities Overview - Radiography and other NDE methods can be ... * Radiological detectors mountable in helicopters and fixed wing aircraft Provides search capability and ...

Radiography and other NDE methods can be ... * Radiological detectors mountable in helicopters and fixed wing aircraft Provides search capability and ...

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AMTEXT: Extractionbased MT for Arabic PowerPoint PPT Presentation

AMTEXT: Extractionbased MT for Arabic - Full MT of text is problematic: Requires large amounts of resources, long development time ... Run Time Transfer System. Word-aligned elicited data. Partial ...

Full MT of text is problematic: Requires large amounts of resources, long development time ... Run Time Transfer System. Word-aligned elicited data. Partial ...

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Information Extraction 2 PowerPoint PPT Presentation

Information Extraction 2 - Title: Automatically Building Special Purpose Search Engines with Machine Learning Author: Andrew McCallum Last modified by: CSE Created Date: 10/28/1998 12:04:08 AM

Title: Automatically Building Special Purpose Search Engines with Machine Learning Author: Andrew McCallum Last modified by: CSE Created Date: 10/28/1998 12:04:08 AM

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Detektory w medycynie nuklearnej - Detektory w medycynie nuklearnej

Detektory w medycynie nuklearnej

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Information Extraction : Theory and Practice - ACAI'05/SEKT'05. ADVANCED COURSE ON KNOWLEDGE DISCOVERY. 2. Background. Rapid proliferation of information available in digital format ...

ACAI'05/SEKT'05. ADVANCED COURSE ON KNOWLEDGE DISCOVERY. 2. Background. Rapid proliferation of information available in digital format ...

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Information Extraction from the World Wide Web - Richard Stallman, founder of the Free Software Foundation, countered saying... Free Software Foundation. What is 'Information Extraction' Information Extraction ...

Richard Stallman, founder of the Free Software Foundation, countered saying... Free Software Foundation. What is 'Information Extraction' Information Extraction ...

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What is the Jeopardy Model A QuasiSynchronous Grammar for Question Answering PowerPoint PPT Presentation

What is the Jeopardy Model A QuasiSynchronous Grammar for Question Answering - 1. Bush later met with French president Jacques Chirac. ... leader of France French president. Q A. 8. Existing work in QA. Semantics ...

1. Bush later met with French president Jacques Chirac. ... leader of France French president. Q A. 8. Existing work in QA. Semantics ...

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GeoName: a system for backtransliterating PowerPoint PPT Presentation

GeoName: a system for backtransliterating - GeoName: a system for back-transliterating. pinyin place names. Kui-Lam Kwok & Qiang Deng ... Wade-Giles: ? - hsiang, ? - kang. Hong Kong: ? - hong, ? - kong ...

GeoName: a system for back-transliterating. pinyin place names. Kui-Lam Kwok & Qiang Deng ... Wade-Giles: ? - hsiang, ? - kang. Hong Kong: ? - hong, ? - kong ...

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U.S. Coast Guard National Strike Force PowerPoint PPT Presentation

U.S. Coast Guard National Strike Force - ... Special Monitoring for Alternative Response Technologies (SMART) VOSS/SORS/VOPS Communications HAZWOPER Refresher International Exercises: ...

... Special Monitoring for Alternative Response Technologies (SMART) VOSS/SORS/VOPS Communications HAZWOPER Refresher International Exercises: ...

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Information Extraction, Data Mining and Joint Inference - ... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Gates himself says Microsoft will gladly disclose its crown jewels--the coveted ...

... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Gates himself says Microsoft will gladly disclose its crown jewels--the coveted ...

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NamedEntity Recognition for Swedish Past, Present and Way Ahead''' PowerPoint PPT Presentation

NamedEntity Recognition for Swedish Past, Present and Way Ahead''' - ... such as bodies of water, rivers, mountains, geological formations, islands, ... Supports analysis of Arabic, Hispanic, Chinese, Thai, Russian, Korean, and ...

... such as bodies of water, rivers, mountains, geological formations, islands, ... Supports analysis of Arabic, Hispanic, Chinese, Thai, Russian, Korean, and ...

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TREC2003 QA Report PowerPoint PPT Presentation

TREC2003 QA Report - ask a question in nature language. return the most possible ... Who is Aaron Copland? What is the vagus nerve? Outline. What is QA. TREC 2003 QA Task ...

ask a question in nature language. return the most possible ... Who is Aaron Copland? What is the vagus nerve? Outline. What is QA. TREC 2003 QA Task ...

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Answering Questions through Understanding PowerPoint PPT Presentation

Answering Questions through Understanding - Ralph Weischedel, Ana Licuanan, Scott Miller, Jinxi Xu. 4 December 2003. 2. AQUAINT ... Spouse-of (e.g. 'Clinton', 'Hillary') Founder-of (e.g. 'Gates', 'Microsoft' ...

Ralph Weischedel, Ana Licuanan, Scott Miller, Jinxi Xu. 4 December 2003. 2. AQUAINT ... Spouse-of (e.g. 'Clinton', 'Hillary') Founder-of (e.g. 'Gates', 'Microsoft' ...

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Information Extraction and Integration: an Overview PowerPoint PPT Presentation

Information Extraction and Integration: an Overview - ... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Bill Gates CEO Microsoft. Bill Veghte VP Microsoft. Richard Stallman founder ...

... years, Microsoft Corporation CEO Bill Gates railed against the economic ... Bill Gates CEO Microsoft. Bill Veghte VP Microsoft. Richard Stallman founder ...

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Lecture 16: Information Extraction PowerPoint PPT Presentation

Lecture 16: Information Extraction - Cincinnati, Ohio 45210. Pawel Opalinski, Software. Engineer at WhizBang Labs. E.g. word patterns: ... Candidates. Abraham Lincoln was born in Kentucky. ...

Cincinnati, Ohio 45210. Pawel Opalinski, Software. Engineer at WhizBang Labs. E.g. word patterns: ... Candidates. Abraham Lincoln was born in Kentucky. ...

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Information Extraction from the World Wide Web - Current portion of notes receivable 1,470 1,394. Other current assets 336 404 ... Today, Microsoft claims to 'love' the open-source concept, by which software ...

Current portion of notes receivable 1,470 1,394. Other current assets 336 404 ... Today, Microsoft claims to 'love' the open-source concept, by which software ...

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Overview to ICMI02 International Conference on Multimodal Interfaces 02 PowerPoint PPT Presentation

Overview to ICMI02 International Conference on Multimodal Interfaces 02 - Hiroshi Ishii, 'Tangible Bits: Designing the Seamless Interface between People, Bits, ... When should synthetic and veridical aspects of interfaces be mixed? ...

Hiroshi Ishii, 'Tangible Bits: Designing the Seamless Interface between People, Bits, ... When should synthetic and veridical aspects of interfaces be mixed? ...

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Toward LargeScale Shallow Semantics for HigherQuality NLP - 639 Sierra St. 33.923412 -118.409810. Is this the best we can do? Frank's two Semantic Webs ... (This work by Patrick Pantel, Marco Pennacchiotti, and Dekang Lin) ...

639 Sierra St. 33.923412 -118.409810. Is this the best we can do? Frank's two Semantic Webs ... (This work by Patrick Pantel, Marco Pennacchiotti, and Dekang Lin) ...

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Apprentissage et extraction dinformation PowerPoint PPT Presentation

Apprentissage et extraction dinformation - MACWORLD EXPO, NEW YORK--July 17, 2002--Apple's first retail store in New York ... The SoHo store will be Apple's largest retail store to date and is a stunning ...

MACWORLD EXPO, NEW YORK--July 17, 2002--Apple's first retail store in New York ... The SoHo store will be Apple's largest retail store to date and is a stunning ...

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JAVELIN Project Briefing PowerPoint PPT Presentation

JAVELIN Project Briefing - How much did the Japan Bank for International Cooperation decide to loan to the ... languages (languages of the data collections where answers may be found) so that ...

How much did the Japan Bank for International Cooperation decide to loan to the ... languages (languages of the data collections where answers may be found) so that ...

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... What is the Amazon River at its origin? ... Location PowerPoint PPT Presentation

... What is the Amazon River at its origin? ... Location - ... What is the Amazon River at its origin? ... Location for the origin of the Amazon River. ... Amazon is the longest river in the world, with an extension of ...

... What is the Amazon River at its origin? ... Location for the origin of the Amazon River. ... Amazon is the longest river in the world, with an extension of ...

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Identifinder PowerPoint PPT Presentations