SlideShare a Scribd company logo
1 of 76
The Semantic Quilt:  Contexts, Co-occurrences, Kernels, and Ontologies  Ted Pedersen University of Minnesota, Duluth http:// www.d.umn.edu/~tpederse
Create by stitching together
Sew together different materials
Ontologies Co-Occurrences Kernels Contexts
Semantics in NLP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do we mean by  semantics ? …it depends on our resources… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What level of granularity? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Terrible Tension : Ambiguity versus Granularity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Current State of Affairs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Similarity as Organizing Principle ,[object Object],[object Object],[object Object],[object Object],[object Object]
Things we can do now… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Things we want to do… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic Patches to Sew Together ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontologies Co-Occurrences Kernels Contexts
Ngram Statistics Package http:// ngram.sourceforge.net Co-Occurrences
Things we can do now… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Co-occurrences and semantics? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why pairs of words? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Bigrams ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“ occur together more often than expected by chance…” ,[object Object],[object Object],[object Object],[object Object]
Measures and Tests of Association  http:// ngram.sourceforge.net ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontologies Co-Occurrences Kernels Contexts
SenseClusters http:// senseclusters.sourceforge.net Contexts
Things we can do now… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Identify Similar Contexts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SenseClusters Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Second Order Features ,[object Object],[object Object],[object Object]
Similar Contexts may have the same meaning…   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Second Order Context Representation ,[object Object],[object Object],[object Object],[object Object],[object Object]
2 nd  Order Context Vectors ,[object Object],0 6272.85 2.9133 62.6084 20.032 1176.84 51.021 O2 context 0 18818.55 0 0 0 205.5469 134.5102 guy 0 0 0 136.0441 29.576 0 0 Oscar 0 0 8.7399 51.7812 30.520 3324.98 18.5533 won needle family war movie actor football baseball
After context representation… ,[object Object],[object Object],[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters
Oh…we also get plenty of these… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The WSD-Shell http:// www.d.umn.edu/~tpederse/supervised.html Kernels
Things we can do now… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Machine Learning Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Kernel Methods ,[object Object],[object Object],[object Object]
Kernels are similarity matrices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters
WordNet-Similarity http://wn-similarity.sourceforge.net Ontologies
Things we can do now… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Similarity and Relatedness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
WordNet-Similarity http://wn-similarity.sourceforge.net ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Path Finding ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
watercraft  instrumentality object artifact conveyance vehicle motor-vehicle car boat ark article ware table-ware cutlery fork from Jiang and Conrath [1997]
Information Content ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Observed “car”... motor vehicle (327 +1) *root* (32783 + 1) minicab (6) cab (23) car (73 +1) bus (17) stock car (12)
Observed “stock car”... motor vehicle (328+1) *root* (32784+1) minicab (6) cab (23) car (74+1) bus (17) stock car (12+1)
After Counting Concepts...  motor vehicle (329) IC = 1.9 *root* (32785) minicab (6) cab (23) car (75) bus (17) IC = 3.5 stock car (13) IC = 3.1
Similarity and Information Content ,[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters
Wait a minute …  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using Dictionary Glosses  to Measure Relatedness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gloss Vectors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object]
Why measure conceptual similarity?  ,[object Object],[object Object],[object Object],[object Object]
Word Sense Disambiguation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
WordNet-SenseRelate http:// senserelate.sourceforge.net SenseRelate
SenseRelate Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coverage… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What do we get at the end? ,[object Object],[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters SenseRelate
Kernels are similarity matrices ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters SenseRelate
SenseClusters Input … matrices ,[object Object],[object Object],[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters SenseRelate
Identifying Collocations ,[object Object],[object Object]
Ontologies  WordNet-Similarity Co-Occurrences Ngram Statistics Package Kernels WSD-Shell Contexts SenseClusters SenseRelate
 
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Many Thanks…  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
URLs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

Similar to The Semantic Quilt

CMSC 723: Computational Linguistics I
CMSC 723: Computational Linguistics ICMSC 723: Computational Linguistics I
CMSC 723: Computational Linguistics Ibutest
 
Introduction to Distributional Semantics
Introduction to Distributional SemanticsIntroduction to Distributional Semantics
Introduction to Distributional SemanticsAndre Freitas
 
Text Analytics for Semantic Computing
Text Analytics for Semantic ComputingText Analytics for Semantic Computing
Text Analytics for Semantic ComputingMeena Nagarajan
 
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffn
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffnL6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffn
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffnRwanEnan
 
Chat bot using text similarity approach
Chat bot using text similarity approachChat bot using text similarity approach
Chat bot using text similarity approachdinesh_joshy
 
Primary Lined Paper Printable - Customize And
Primary Lined Paper Printable - Customize AndPrimary Lined Paper Printable - Customize And
Primary Lined Paper Printable - Customize AndAlyssa Dennis
 
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...Dawn Anderson MSc DigM
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI) International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI) inventionjournals
 
Content Findability in a Portable Content World
Content Findability in a Portable Content WorldContent Findability in a Portable Content World
Content Findability in a Portable Content WorldLise Kreps
 
DDH 2021-03-03: Text Processing and Searching in the Medical Domain
DDH 2021-03-03: Text Processing and Searching in the Medical DomainDDH 2021-03-03: Text Processing and Searching in the Medical Domain
DDH 2021-03-03: Text Processing and Searching in the Medical DomainLuukBoulogne
 
Techniques used in opinion mining
Techniques used in opinion miningTechniques used in opinion mining
Techniques used in opinion miningasimuop
 
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
Sentiment Analysis in Twitter with Lightweight Discourse AnalysisSentiment Analysis in Twitter with Lightweight Discourse Analysis
Sentiment Analysis in Twitter with Lightweight Discourse AnalysisSubhabrata Mukherjee
 
A Simple Introduction to Word Embeddings
A Simple Introduction to Word EmbeddingsA Simple Introduction to Word Embeddings
A Simple Introduction to Word EmbeddingsBhaskar Mitra
 
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...禎晃 山崎
 

Similar to The Semantic Quilt (20)

Eurolan 2005 Pedersen
Eurolan 2005 PedersenEurolan 2005 Pedersen
Eurolan 2005 Pedersen
 
CMSC 723: Computational Linguistics I
CMSC 723: Computational Linguistics ICMSC 723: Computational Linguistics I
CMSC 723: Computational Linguistics I
 
Class14
Class14Class14
Class14
 
Introduction to Distributional Semantics
Introduction to Distributional SemanticsIntroduction to Distributional Semantics
Introduction to Distributional Semantics
 
Text Analytics for Semantic Computing
Text Analytics for Semantic ComputingText Analytics for Semantic Computing
Text Analytics for Semantic Computing
 
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffn
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffnL6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffn
L6.pptxsdv dfbdfjftj hgjythgfvfhjyggunghb fghtffn
 
Chat bot using text similarity approach
Chat bot using text similarity approachChat bot using text similarity approach
Chat bot using text similarity approach
 
Primary Lined Paper Printable - Customize And
Primary Lined Paper Printable - Customize AndPrimary Lined Paper Printable - Customize And
Primary Lined Paper Printable - Customize And
 
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...
Natural Semantic SEO - Surfacing Walnuts in Densely Represented, Every Increa...
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI) International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)
 
Textmining
TextminingTextmining
Textmining
 
Content Findability in a Portable Content World
Content Findability in a Portable Content WorldContent Findability in a Portable Content World
Content Findability in a Portable Content World
 
DDH 2021-03-03: Text Processing and Searching in the Medical Domain
DDH 2021-03-03: Text Processing and Searching in the Medical DomainDDH 2021-03-03: Text Processing and Searching in the Medical Domain
DDH 2021-03-03: Text Processing and Searching in the Medical Domain
 
Techniques used in opinion mining
Techniques used in opinion miningTechniques used in opinion mining
Techniques used in opinion mining
 
Advances In Wsd Aaai 2005
Advances In Wsd Aaai 2005Advances In Wsd Aaai 2005
Advances In Wsd Aaai 2005
 
Advances In Wsd Aaai 2005
Advances In Wsd Aaai 2005Advances In Wsd Aaai 2005
Advances In Wsd Aaai 2005
 
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
Sentiment Analysis in Twitter with Lightweight Discourse AnalysisSentiment Analysis in Twitter with Lightweight Discourse Analysis
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
 
A Simple Introduction to Word Embeddings
A Simple Introduction to Word EmbeddingsA Simple Introduction to Word Embeddings
A Simple Introduction to Word Embeddings
 
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...
Constructing dataset based_on_concept_hierarchy_for_evaluating_word_vectors_l...
 
Advances In Wsd Acl 2005
Advances In Wsd Acl 2005Advances In Wsd Acl 2005
Advances In Wsd Acl 2005
 

More from University of Minnesota, Duluth

Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...University of Minnesota, Duluth
 
Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it? Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it? University of Minnesota, Duluth
 
Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?University of Minnesota, Duluth
 
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection University of Minnesota, Duluth
 
Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...University of Minnesota, Duluth
 
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...University of Minnesota, Duluth
 
Puns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and wearyPuns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and wearyUniversity of Minnesota, Duluth
 
The horizon isn't found in a dictionary : Identifying emerging word senses a...
The horizon isn't found in a  dictionary : Identifying emerging word senses a...The horizon isn't found in a  dictionary : Identifying emerging word senses a...
The horizon isn't found in a dictionary : Identifying emerging word senses a...University of Minnesota, Duluth
 
Duluth : Word Sense Discrimination in the Service of Lexicography
Duluth : Word Sense Discrimination in the Service of LexicographyDuluth : Word Sense Discrimination in the Service of Lexicography
Duluth : Word Sense Discrimination in the Service of LexicographyUniversity of Minnesota, Duluth
 
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...University of Minnesota, Duluth
 
What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)University of Minnesota, Duluth
 

More from University of Minnesota, Duluth (20)

Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
 
Automatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social MediaAutomatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social Media
 
What Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshopWhat Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshop
 
Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it? Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it?
 
Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?
 
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
 
Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...
 
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
 
Puns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and wearyPuns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and weary
 
The horizon isn't found in a dictionary : Identifying emerging word senses a...
The horizon isn't found in a  dictionary : Identifying emerging word senses a...The horizon isn't found in a  dictionary : Identifying emerging word senses a...
The horizon isn't found in a dictionary : Identifying emerging word senses a...
 
Screening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSDScreening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSD
 
Duluth : Word Sense Discrimination in the Service of Lexicography
Duluth : Word Sense Discrimination in the Service of LexicographyDuluth : Word Sense Discrimination in the Service of Lexicography
Duluth : Word Sense Discrimination in the Service of Lexicography
 
Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014
 
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
 
What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)
 
Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25
 
Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24
 
Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013
 
Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012
 
Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1
 

Recently uploaded

ppt your views.ppt your views of your college in your eyes
ppt your views.ppt your views of your college in your eyesppt your views.ppt your views of your college in your eyes
ppt your views.ppt your views of your college in your eyesashishpaul799
 
size separation d pharm 1st year pharmaceutics
size separation d pharm 1st year pharmaceuticssize separation d pharm 1st year pharmaceutics
size separation d pharm 1st year pharmaceuticspragatimahajan3
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文中 央社
 
An Overview of the Odoo 17 Discuss App.pptx
An Overview of the Odoo 17 Discuss App.pptxAn Overview of the Odoo 17 Discuss App.pptx
An Overview of the Odoo 17 Discuss App.pptxCeline George
 
Essential Safety precautions during monsoon season
Essential Safety precautions during monsoon seasonEssential Safety precautions during monsoon season
Essential Safety precautions during monsoon seasonMayur Khatri
 
REPRODUCTIVE TOXICITY STUDIE OF MALE AND FEMALEpptx
REPRODUCTIVE TOXICITY  STUDIE OF MALE AND FEMALEpptxREPRODUCTIVE TOXICITY  STUDIE OF MALE AND FEMALEpptx
REPRODUCTIVE TOXICITY STUDIE OF MALE AND FEMALEpptxmanishaJyala2
 
The basics of sentences session 4pptx.pptx
The basics of sentences session 4pptx.pptxThe basics of sentences session 4pptx.pptx
The basics of sentences session 4pptx.pptxheathfieldcps1
 
The Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptxThe Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptxNehaChandwani11
 
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjjStl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjjMohammed Sikander
 
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdf
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdfDanh sách HSG Bộ môn cấp trường - Cấp THPT.pdf
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdfQucHHunhnh
 
factors influencing drug absorption-final-2.pptx
factors influencing drug absorption-final-2.pptxfactors influencing drug absorption-final-2.pptx
factors influencing drug absorption-final-2.pptxSanjay Shekar
 
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽中 央社
 
How to the fix Attribute Error in odoo 17
How to the fix Attribute Error in odoo 17How to the fix Attribute Error in odoo 17
How to the fix Attribute Error in odoo 17Celine George
 
Morse OER Some Benefits and Challenges.pptx
Morse OER Some Benefits and Challenges.pptxMorse OER Some Benefits and Challenges.pptx
Morse OER Some Benefits and Challenges.pptxjmorse8
 
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdf
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdfPost Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdf
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdfPragya - UEM Kolkata Quiz Club
 
How to Analyse Profit of a Sales Order in Odoo 17
How to Analyse Profit of a Sales Order in Odoo 17How to Analyse Profit of a Sales Order in Odoo 17
How to Analyse Profit of a Sales Order in Odoo 17Celine George
 
How to Manage Closest Location in Odoo 17 Inventory
How to Manage Closest Location in Odoo 17 InventoryHow to Manage Closest Location in Odoo 17 Inventory
How to Manage Closest Location in Odoo 17 InventoryCeline George
 

Recently uploaded (20)

ppt your views.ppt your views of your college in your eyes
ppt your views.ppt your views of your college in your eyesppt your views.ppt your views of your college in your eyes
ppt your views.ppt your views of your college in your eyes
 
size separation d pharm 1st year pharmaceutics
size separation d pharm 1st year pharmaceuticssize separation d pharm 1st year pharmaceutics
size separation d pharm 1st year pharmaceutics
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
 
Post Exam Fun(da) Intra UEM General Quiz - Finals.pdf
Post Exam Fun(da) Intra UEM General Quiz - Finals.pdfPost Exam Fun(da) Intra UEM General Quiz - Finals.pdf
Post Exam Fun(da) Intra UEM General Quiz - Finals.pdf
 
An Overview of the Odoo 17 Discuss App.pptx
An Overview of the Odoo 17 Discuss App.pptxAn Overview of the Odoo 17 Discuss App.pptx
An Overview of the Odoo 17 Discuss App.pptx
 
“O BEIJO” EM ARTE .
“O BEIJO” EM ARTE                       .“O BEIJO” EM ARTE                       .
“O BEIJO” EM ARTE .
 
Essential Safety precautions during monsoon season
Essential Safety precautions during monsoon seasonEssential Safety precautions during monsoon season
Essential Safety precautions during monsoon season
 
REPRODUCTIVE TOXICITY STUDIE OF MALE AND FEMALEpptx
REPRODUCTIVE TOXICITY  STUDIE OF MALE AND FEMALEpptxREPRODUCTIVE TOXICITY  STUDIE OF MALE AND FEMALEpptx
REPRODUCTIVE TOXICITY STUDIE OF MALE AND FEMALEpptx
 
The basics of sentences session 4pptx.pptx
The basics of sentences session 4pptx.pptxThe basics of sentences session 4pptx.pptx
The basics of sentences session 4pptx.pptx
 
The Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptxThe Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptx
 
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjjStl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjj
 
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
Operations Management - Book1.p  - Dr. Abdulfatah A. SalemOperations Management - Book1.p  - Dr. Abdulfatah A. Salem
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
 
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdf
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdfDanh sách HSG Bộ môn cấp trường - Cấp THPT.pdf
Danh sách HSG Bộ môn cấp trường - Cấp THPT.pdf
 
factors influencing drug absorption-final-2.pptx
factors influencing drug absorption-final-2.pptxfactors influencing drug absorption-final-2.pptx
factors influencing drug absorption-final-2.pptx
 
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
 
How to the fix Attribute Error in odoo 17
How to the fix Attribute Error in odoo 17How to the fix Attribute Error in odoo 17
How to the fix Attribute Error in odoo 17
 
Morse OER Some Benefits and Challenges.pptx
Morse OER Some Benefits and Challenges.pptxMorse OER Some Benefits and Challenges.pptx
Morse OER Some Benefits and Challenges.pptx
 
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdf
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdfPost Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdf
Post Exam Fun(da) Intra UEM General Quiz 2024 - Prelims q&a.pdf
 
How to Analyse Profit of a Sales Order in Odoo 17
How to Analyse Profit of a Sales Order in Odoo 17How to Analyse Profit of a Sales Order in Odoo 17
How to Analyse Profit of a Sales Order in Odoo 17
 
How to Manage Closest Location in Odoo 17 Inventory
How to Manage Closest Location in Odoo 17 InventoryHow to Manage Closest Location in Odoo 17 Inventory
How to Manage Closest Location in Odoo 17 Inventory
 

The Semantic Quilt