'Named entities' presentation slideshows

Named entities - PowerPoint PPT Presentation


Roberto Navigli

Roberto Navigli

BabelNet and beyond: a huge multilingual semantic network and its potential for interconnecting migration routes. Roberto Navigli. http://lcl.uniroma1.it. 16th June 2016 – Rome. Roberto Navigli. Associate Professor in the Department of Computer Science (Sapienza, Rome)

By keena
(7 views)

Lecture 22: NLP for IR

Lecture 22: NLP for IR

Prof. Ray Larson University of California, Berkeley School of Information. Lecture 22: NLP for IR. Principles of Information Retrieval. Today. MiniTREC results Review Cheshire III Design – GRID-based DLs NLP for IR Text Summarization.

By marie
(52 views)

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition http://gate.ac.uk/ http://nlp.shef.ac.uk/ Hamish Cunningham Kalina Bontcheva RANLP, Borovets, Bulgaria, 8 th September 2003. Structure of the Tutorial. task definition applications corpora, annotation evaluation and testing how to preprocessing

By calder
(144 views)

Named-Entity Recognition with Character-Level Models

Named-Entity Recognition with Character-Level Models

Named-Entity Recognition with Character-Level Models. Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning Stanford University CoNLL-2003: Seventh Conference on Natural Language Learning. Unknown Words are a Central Challenge for NER.

By hide
(127 views)

Lecture 13 Information Extraction

Lecture 13 Information Extraction

Lecture 13 Information Extraction. CSCE 771 Natural Language Processing. Topics Name Entity Recognition Relation detection Temporal and Event Processing Template Filling Readings: Chapter 22. February 27, 2013. Overview. Last Time Dialogues Human conversations Today

By annis
(159 views)

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition http://gate.ac.uk/ http://nlp.shef.ac.uk/ Hamish Cunningham Kalina Bontcheva RANLP, Borovets, Bulgaria, 8 th September 2003. Structure of the Tutorial. task definition applications corpora, annotation evaluation and testing how to preprocessing

By meagan
(143 views)

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition http://gate.ac.uk/ http://nlp.shef.ac.uk/ Hamish Cunningham Kalina Bontcheva RANLP, Borovets, Bulgaria, 8 th September 2003. Structure of the Tutorial. task definition applications corpora, annotation evaluation and testing how to preprocessing

By korbin
(125 views)

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition gate.ac.uk/ nlp.shef.ac.uk/ Hamish Cunningham

Named Entity Recognition http://gate.ac.uk/ http://nlp.shef.ac.uk/ Hamish Cunningham Kalina Bontcheva RANLP, Borovets, Bulgaria, 8 th September 2003. Structure of the Tutorial. task definition applications corpora, annotation evaluation and testing how to preprocessing

By milos
(86 views)

CSC 594 Topics in AI – Applied Natural Language Processing

CSC 594 Topics in AI – Applied Natural Language Processing

CSC 594 Topics in AI – Applied Natural Language Processing. Fall 2009/2010 7. Named Entity Recognition. Named Entity Recognition. Named Entities (NEs) are proper names in texts, i.e. the names of persons, organizations, locations, times and quantities

By abiola
(177 views)

Approaches to Event-Focused Summarization Based on Named Entities and Query Words

Approaches to Event-Focused Summarization Based on Named Entities and Query Words

Approaches to Event-Focused Summarization Based on Named Entities and Query Words. Jianyin Ge, Xuanjing Huang and Lide Wu Fudan University, Shanghai (DUC2003). Introduction. The second task Short summaries focused by events Our system was based on sentence extraction

By tab
(114 views)

Ops Review Parsing & Semantics

Ops Review Parsing & Semantics

Ops Review Parsing & Semantics. November 22, 2007. General research context. Highlights of the last 6 months. Continue research and development of semantic modules (e.g. temporal expression, semantic resources, disambiguation of Named entities, co reference, events)

By stacy
(111 views)

Named Entity Discovery from Multilingual Corpora

Named Entity Discovery from Multilingual Corpora

Named Entity Discovery from Multilingual Corpora. Alexandre Klementiev Dan Roth. NIPS 2006 • MLIA Workshop. Supported by ARDA’s AQUAINT program and a DOI grant under the Reflex program. Named Entity Recognition.

By coye
(118 views)

Named EntIty Recognition in Query

Named EntIty Recognition in Query

Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li. Named EntIty Recognition in Query. SIGIR 2009. Presentation by Gonçalo Simões Course: Recuperação de Informação. Outline. Basic Concepts Named Entity Recognition in Query Conclusions. Outline. Basic Concepts Information Extraction

By malise
(216 views)

Named Entity Recognition in Query

Named Entity Recognition in Query

Named Entity Recognition in Query. Jiafeng Guo , Gu Xu, Xueqi Cheng, Hang Li ( ACM SIGIR 2009 ) Speaker: Yi-Lin,Hsu Advisor: Dr. Koh, Jia-ling Date: 2009/11/16. Outline. Introduction to NERQ NERQ Problem Implementation WSLDA Experimental Results Conclusion and Future work.

By galena
(112 views)

Named Entity Mining From Click-Through Data Using Weakly Supervised LDA

Named Entity Mining From Click-Through Data Using Weakly Supervised LDA

Named Entity Mining From Click-Through Data Using Weakly Supervised LDA. Gu Xu 1 , Shuang -Hong Yang 1,2 , Hang Li 1 1 Microsoft Research Asia, China 2 College of Computing, Georgia Tech, USA. Talk Outline. Named Entity Mining Exploiting click-through data

By nani
(87 views)

CSCI 5417 Information Retrieval Systems Jim Martin

CSCI 5417 Information Retrieval Systems Jim Martin

CSCI 5417 Information Retrieval Systems Jim Martin. Lecture 22 11/10/2011. Today 11/10. Wrap up Information Extraction Start sentiment analysis. IE vs. IR.

By kumiko
(86 views)

Identification of bilingual named entities from Wikipedia using a pair Hidden Markov Model

Identification of bilingual named entities from Wikipedia using a pair Hidden Markov Model

Identification of bilingual named entities from Wikipedia using a pair Hidden Markov Model. Peter Nabende Alfa Informatica, Center for Language and Cognition Groningen, University of Groningen email: p.nabende@rug.nl. Introduction.

By morrie
(127 views)

Using Term-matching Algorithms for the Annotation of Geo-services

Using Term-matching Algorithms for the Annotation of Geo-services

Semantic Web Service Interoperability for Geospatial Decision Making (FP6-026514). Using Term-matching Algorithms for the Annotation of Geo-services. Miha Gr ča r 1 , Eva Klien 2 1 Jo ž ef Stefan Institute, Slovenia 2 Institute for Geoinformatics, Germany. Introduction and motivation.

By kylia
(121 views)

Learning Phonetic Similarity for Matching Named Entity Translations and Mining New Translations

Learning Phonetic Similarity for Matching Named Entity Translations and Mining New Translations

Learning Phonetic Similarity for Matching Named Entity Translations and Mining New Translations. Wai Lam Ruizhang Huang Pik-Shan Cheung Department of Systems Engineering & Engineering Management The Chinese University of Hong Kong Shatin, Hong Kong

By draco
(169 views)

Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling

Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling

Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling. KDD’13. Task. The task: is to link the named entity mentions detected from tweets with the corresponding real world entities in the knowledge Application : personalized recommendation , user interest discovery.

By ianna
(203 views)

View Named entities PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Named entities PowerPoint presentations. You can view or download Named entities presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.