-
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021
-
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
published: 13 May 2024
-
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a...
published: 07 Apr 2021
-
Word Sense Disambiguation 🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
published: 05 Dec 2021
-
ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
published: 09 May 2020
-
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
published: 14 Feb 2019
-
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning...
published: 30 Nov 2022
-
“If you only knew the power of ORCID ” Using ORCIDs for Disambiguation
NOAA Central Library Seminars
Speaker: Jennifer Fagan-Fry, NOAA Institutional Repository Manager
Abstract: ORCIDs, much like DOIs, are “an elegant weapon for a more civilized age,” and provide a concise and accurate way to link researchers with their research outputs. As they are more widely adopted and utilized throughout the publishing landscape, it is important for researchers to know the what, whys and hows of ORCIDs. In this webinar we will discuss the benefits of ORCIDs, how they are used throughout the publishing process, and how the NOAA Central Library can help you with managing your profile.
published: 26 Jan 2023
-
I had no idea Switzerland was SO neutral! #shorts 15. März 2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 m...
published: 15 Mar 2023
-
I had no idea Switzerland was SO neutral! #shorts 16. März 2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 m...
published: 16 Mar 2023
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
- published: 07 Jan 2021
- views: 539
11:39
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/word...
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
https://wn.com/🖋_Word_Sense_Disambiguation_In_Colab_Using_Kerasnlp.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
- published: 13 May 2024
- views: 117
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using t...
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
- published: 07 Apr 2021
- views: 2095
8:29
Word Sense Disambiguation 🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right ...
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
https://wn.com/Word_Sense_Disambiguation_🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
- published: 05 Dec 2021
- views: 62029
2:24:42
ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
https://wn.com/Applyai_Hands_On_In_Nlp_Word_Disambiguation_And_Automatic_Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
- published: 09 May 2020
- views: 1382
9:18
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisill...
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
https://wn.com/Laminar_Flow_Disambiguation
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
- published: 14 Feb 2019
- views: 9885559
35:11
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities ...
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
https://wn.com/093_Keyword_Disambiguation_Using_Transformers_And_Clustering_To_Build_Cleaner_Knowledge_Nodes2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
- published: 30 Nov 2022
- views: 515
29:34
“If you only knew the power of ORCID ” Using ORCIDs for Disambiguation
NOAA Central Library Seminars
Speaker: Jennifer Fagan-Fry, NOAA Institutional Repository Manager
Abstract: ORCIDs, much like DOIs, are “an elegant weapon for...
NOAA Central Library Seminars
Speaker: Jennifer Fagan-Fry, NOAA Institutional Repository Manager
Abstract: ORCIDs, much like DOIs, are “an elegant weapon for a more civilized age,” and provide a concise and accurate way to link researchers with their research outputs. As they are more widely adopted and utilized throughout the publishing landscape, it is important for researchers to know the what, whys and hows of ORCIDs. In this webinar we will discuss the benefits of ORCIDs, how they are used throughout the publishing process, and how the NOAA Central Library can help you with managing your profile.
https://wn.com/“If_You_Only_Knew_The_Power_Of_Orcid_”_Using_Orcids_For_Disambiguation
NOAA Central Library Seminars
Speaker: Jennifer Fagan-Fry, NOAA Institutional Repository Manager
Abstract: ORCIDs, much like DOIs, are “an elegant weapon for a more civilized age,” and provide a concise and accurate way to link researchers with their research outputs. As they are more widely adopted and utilized throughout the publishing landscape, it is important for researchers to know the what, whys and hows of ORCIDs. In this webinar we will discuss the benefits of ORCIDs, how they are used throughout the publishing process, and how the NOAA Central Library can help you with managing your profile.
- published: 26 Jan 2023
- views: 129
0:14
I had no idea Switzerland was SO neutral! #shorts 15. März 2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality...
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 members
Area[1]
• Total 15.92 km2 (6.15 sq mi)
Elevation (Pont du Mont Blanc) 375 m (1,230 ft)
Highest elevation (Chemin du Pommier) 457 m (1,499 ft)
Lowest elevation (Le Rhône) 370 m (1,210 ft)
Population (2018-12-31)[2]
• Total 201,818
• Density 13,000/km2 (33,000/sq mi)
Demonym(s) Genevan or Genevese
French: Genevois(e)
Time zone UTC+01:00 (Central European Time)
• Summer (DST) UTC+02:00 (Central European Summer Time)
Postal code(s)
1200, or 1201–09 Genève, 1213 Petit-Lancy, 1227 Les Acacias[3]
SFOS number 6621
Surrounded by Carouge, Chêne-Bougeries, Cologny, Lancy, Grand-Saconnex, Pregny-Chambésy, Vernier, Veyrier
Website www.geneve.ch
SFSO statistics
Geneva (/dʒəˈniːvə/ jə-NEE-və;[4] French: Genève [ʒənɛv] (listen))[note 1] is the second-most populous city in Switzerland (after Zürich) and the most populous city of Romandy, the French-speaking part of Switzerland. Situated in the south west of the country, where the Rhône exits Lake Geneva, it is the capital of the Republic and Canton of Geneva.
The city of Geneva (ville de Genève) had a population of 203,951 in 2020 (Jan. estimate)[5] within its small municipal territory of 16 km2 (6 sq mi),[6] but the Canton of Geneva (the city and its closest Swiss suburbs and exurbs) had a population of 504,128 (Jan. 2020 estimate)[5] over 246 km2 (95 sq mi),[6] and together with the suburbs and exurbs located in the canton of Vaud and in the French departments of Ain and Haute-Savoie the cross-border Geneva metropolitan area as officially defined by Eurostat,[7] which extends over 2,292 km2 (885 sq mi),[8] had a population of 1,044,766 in Jan. 2020 (Swiss estimates and French census).[9]
Since 2013, the Canton of Geneva, the Nyon District (in the canton of Vaud), and the Pôle métropolitain du Genevois français (literally 'Metropolitan hub of the French Genevan territory'), this last one a federation of eight French intercommunal councils, have formed Grand Genève ("Greater Geneva"), a Local Grouping of Transnational Cooperation (GLCT in French, a public entity under Swiss law) in charge of organizing cooperation within the cross-border metropolitan area of Geneva (in particular metropolitan transports).[10] The Grand Genève GLCT extends over 1,996 km2 (771 sq mi)[11] and had a population of 1,037,407 in Jan. 2020 (Swiss estimates and French census), 58.4% of them living on Swiss territory, and 41.6% on French territory.[12]
Geneva is a global city, a financial centre, and a worldwide centre for diplomacy due to the presence of numerous international organizations, including the headquarters of many agencies of the United Nations[13] and the Red Cross.[14] Geneva hosts the highest number of international organizations in the world.[15] It is also where the Geneva Conventions were signed, which chiefly concern the treatment of wartime non-combatants and prisoners of war. Together with, for instance, New York City (global headquarters of the UN), Basel (Bank for International Settlements), and Strasbourg (Council of Europe), Geneva is a city serving as the headquarters of one of the most important international organizations, without being the capital of a country.[16][17][18]
In 2021, Geneva was ranked as the world's ninth most important financial centre for competitiveness by the Global Financial Centres Index, fifth in Europe behind London, Zürich, Frankfurt and Luxembourg.[19] In 2019, Geneva was ranked among the ten most liveable cities in the world by Mercer together with Zürich and Basel.[20] The city has been referred to as the world's most compact metropolis[21] and the "Peace Capital".[22] In 2019, Mercer ranked Genewith the Italian port city of Genoa (in Italian Genova).[26]
va as the thirteenth most expensive city in the world.[23] In a UBS ranking of global cities in 2018, Geneva was ranked first for gross earnings, second most expensive, and fourth in purchasing power.[24]
https://wn.com/I_Had_No_Idea_Switzerland_Was_So_Neutral_Shorts_15._März_2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 members
Area[1]
• Total 15.92 km2 (6.15 sq mi)
Elevation (Pont du Mont Blanc) 375 m (1,230 ft)
Highest elevation (Chemin du Pommier) 457 m (1,499 ft)
Lowest elevation (Le Rhône) 370 m (1,210 ft)
Population (2018-12-31)[2]
• Total 201,818
• Density 13,000/km2 (33,000/sq mi)
Demonym(s) Genevan or Genevese
French: Genevois(e)
Time zone UTC+01:00 (Central European Time)
• Summer (DST) UTC+02:00 (Central European Summer Time)
Postal code(s)
1200, or 1201–09 Genève, 1213 Petit-Lancy, 1227 Les Acacias[3]
SFOS number 6621
Surrounded by Carouge, Chêne-Bougeries, Cologny, Lancy, Grand-Saconnex, Pregny-Chambésy, Vernier, Veyrier
Website www.geneve.ch
SFSO statistics
Geneva (/dʒəˈniːvə/ jə-NEE-və;[4] French: Genève [ʒənɛv] (listen))[note 1] is the second-most populous city in Switzerland (after Zürich) and the most populous city of Romandy, the French-speaking part of Switzerland. Situated in the south west of the country, where the Rhône exits Lake Geneva, it is the capital of the Republic and Canton of Geneva.
The city of Geneva (ville de Genève) had a population of 203,951 in 2020 (Jan. estimate)[5] within its small municipal territory of 16 km2 (6 sq mi),[6] but the Canton of Geneva (the city and its closest Swiss suburbs and exurbs) had a population of 504,128 (Jan. 2020 estimate)[5] over 246 km2 (95 sq mi),[6] and together with the suburbs and exurbs located in the canton of Vaud and in the French departments of Ain and Haute-Savoie the cross-border Geneva metropolitan area as officially defined by Eurostat,[7] which extends over 2,292 km2 (885 sq mi),[8] had a population of 1,044,766 in Jan. 2020 (Swiss estimates and French census).[9]
Since 2013, the Canton of Geneva, the Nyon District (in the canton of Vaud), and the Pôle métropolitain du Genevois français (literally 'Metropolitan hub of the French Genevan territory'), this last one a federation of eight French intercommunal councils, have formed Grand Genève ("Greater Geneva"), a Local Grouping of Transnational Cooperation (GLCT in French, a public entity under Swiss law) in charge of organizing cooperation within the cross-border metropolitan area of Geneva (in particular metropolitan transports).[10] The Grand Genève GLCT extends over 1,996 km2 (771 sq mi)[11] and had a population of 1,037,407 in Jan. 2020 (Swiss estimates and French census), 58.4% of them living on Swiss territory, and 41.6% on French territory.[12]
Geneva is a global city, a financial centre, and a worldwide centre for diplomacy due to the presence of numerous international organizations, including the headquarters of many agencies of the United Nations[13] and the Red Cross.[14] Geneva hosts the highest number of international organizations in the world.[15] It is also where the Geneva Conventions were signed, which chiefly concern the treatment of wartime non-combatants and prisoners of war. Together with, for instance, New York City (global headquarters of the UN), Basel (Bank for International Settlements), and Strasbourg (Council of Europe), Geneva is a city serving as the headquarters of one of the most important international organizations, without being the capital of a country.[16][17][18]
In 2021, Geneva was ranked as the world's ninth most important financial centre for competitiveness by the Global Financial Centres Index, fifth in Europe behind London, Zürich, Frankfurt and Luxembourg.[19] In 2019, Geneva was ranked among the ten most liveable cities in the world by Mercer together with Zürich and Basel.[20] The city has been referred to as the world's most compact metropolis[21] and the "Peace Capital".[22] In 2019, Mercer ranked Genewith the Italian port city of Genoa (in Italian Genova).[26]
va as the thirteenth most expensive city in the world.[23] In a UBS ranking of global cities in 2018, Geneva was ranked first for gross earnings, second most expensive, and fourth in purchasing power.[24]
- published: 15 Mar 2023
- views: 13
0:16
I had no idea Switzerland was SO neutral! #shorts 16. März 2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality...
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 members
Area[1]
• Total 15.92 km2 (6.15 sq mi)
Elevation (Pont du Mont Blanc) 375 m (1,230 ft)
Highest elevation (Chemin du Pommier) 457 m (1,499 ft)
Lowest elevation (Le Rhône) 370 m (1,210 ft)
Population (2018-12-31)[2]
• Total 201,818
• Density 13,000/km2 (33,000/sq mi)
Demonym(s) Genevan or Genevese
French: Genevois(e)
Time zone UTC+01:00 (Central European Time)
• Summer (DST) UTC+02:00 (Central European Summer Time)
Postal code(s)
1200, or 1201–09 Genève, 1213 Petit-Lancy, 1227 Les Acacias[3]
SFOS number 6621
Surrounded by Carouge, Chêne-Bougeries, Cologny, Lancy, Grand-Saconnex, Pregny-Chambésy, Vernier, Veyrier
Website www.geneve.ch
SFSO statistics
Geneva (/dʒəˈniːvə/ jə-NEE-və;[4] French: Genève [ʒənɛv] (listen))[note 1] is the second-most populous city in Switzerland (after Zürich) and the most populous city of Romandy, the French-speaking part of Switzerland. Situated in the south west of the country, where the Rhône exits Lake Geneva, it is the capital of the Republic and Canton of Geneva.
The city of Geneva (ville de Genève) had a population of 203,951 in 2020 (Jan. estimate)[5] within its small municipal territory of 16 km2 (6 sq mi),[6] but the Canton of Geneva (the city and its closest Swiss suburbs and exurbs) had a population of 504,128 (Jan. 2020 estimate)[5] over 246 km2 (95 sq mi),[6] and together with the suburbs and exurbs located in the canton of Vaud and in the French departments of Ain and Haute-Savoie the cross-border Geneva metropolitan area as officially defined by Eurostat,[7] which extends over 2,292 km2 (885 sq mi),[8] had a population of 1,044,766 in Jan. 2020 (Swiss estimates and French census).[9]
Since 2013, the Canton of Geneva, the Nyon District (in the canton of Vaud), and the Pôle métropolitain du Genevois français (literally 'Metropolitan hub of the French Genevan territory'), this last one a federation of eight French intercommunal councils, have formed Grand Genève ("Greater Geneva"), a Local Grouping of Transnational Cooperation (GLCT in French, a public entity under Swiss law) in charge of organizing cooperation within the cross-border metropolitan area of Geneva (in particular metropolitan transports).[10] The Grand Genève GLCT extends over 1,996 km2 (771 sq mi)[11] and had a population of 1,037,407 in Jan. 2020 (Swiss estimates and French census), 58.4% of them living on Swiss territory, and 41.6% on French territory.[12]
Geneva is a global city, a financial centre, and a worldwide centre for diplomacy due to the presence of numerous international organizations, including the headquarters of many agencies of the United Nations[13] and the Red Cross.[14] Geneva hosts the highest number of international organizations in the world.[15] It is also where the Geneva Conventions were signed, which chiefly concern the treatment of wartime non-combatants and prisoners of war. Together with, for instance, New York City (global headquarters of the UN), Basel (Bank for International Settlements), and Strasbourg (Council of Europe), Geneva is a city serving as the headquarters of one of the most important international organizations, without being the capital of a country.[16][17][18]
In 2021, Geneva was ranked as the world's ninth most important financial centre for competitiveness by the Global Financial Centres Index, fifth in Europe behind London, Zürich, Frankfurt and Luxembourg.[19] In 2019, Geneva was ranked among the ten most liveable cities in the world by Mercer together with Zürich and Basel.[20] The city has been referred to as the world's most compact metropolis[21] and the "Peace Capital".[22] In 2019, Mercer ranked Genewith the Italian port city of Genoa (in Italian Genova).[26]
va as the thirteenth most expensive city in the world.[23] In a UBS ranking of global cities in 2018, Geneva was ranked first for gross earnings, second most expensive, and fourth in purchasing power.[24]
https://wn.com/I_Had_No_Idea_Switzerland_Was_So_Neutral_Shorts_16._März_2023
This article is about the city of Geneva. For the canton, see canton of Geneva. For other uses, see Geneva (disambiguation).
Geneva
Genève (French)
Municipality in Switzerland
A view over Geneva and the lake
A view over Geneva and the lake
Flag of Geneva Genève (French)
Flag
Coat of arms of Geneva Genève (French)
Coat of arms
Location of Geneva
Genève (French)
Geneva Genève (French) is located in SwitzerlandGeneva Genève (French)Geneva
Genève (French)
Show map of Switzerland
Show map of Canton of Geneva
Show all
Coordinates: 46°12′06″N 06°08′49″ECoordinates: 46°12′06″N 06°08′49″E
Country Switzerland
Canton Geneva
Government
• Executive Conseil administratif
with 5 members
• Mayor La Mairie (list)
Marie Barbey-Chappuis The Centre
(as of June 2022)
• Parliament Conseil municipal
with 80 members
Area[1]
• Total 15.92 km2 (6.15 sq mi)
Elevation (Pont du Mont Blanc) 375 m (1,230 ft)
Highest elevation (Chemin du Pommier) 457 m (1,499 ft)
Lowest elevation (Le Rhône) 370 m (1,210 ft)
Population (2018-12-31)[2]
• Total 201,818
• Density 13,000/km2 (33,000/sq mi)
Demonym(s) Genevan or Genevese
French: Genevois(e)
Time zone UTC+01:00 (Central European Time)
• Summer (DST) UTC+02:00 (Central European Summer Time)
Postal code(s)
1200, or 1201–09 Genève, 1213 Petit-Lancy, 1227 Les Acacias[3]
SFOS number 6621
Surrounded by Carouge, Chêne-Bougeries, Cologny, Lancy, Grand-Saconnex, Pregny-Chambésy, Vernier, Veyrier
Website www.geneve.ch
SFSO statistics
Geneva (/dʒəˈniːvə/ jə-NEE-və;[4] French: Genève [ʒənɛv] (listen))[note 1] is the second-most populous city in Switzerland (after Zürich) and the most populous city of Romandy, the French-speaking part of Switzerland. Situated in the south west of the country, where the Rhône exits Lake Geneva, it is the capital of the Republic and Canton of Geneva.
The city of Geneva (ville de Genève) had a population of 203,951 in 2020 (Jan. estimate)[5] within its small municipal territory of 16 km2 (6 sq mi),[6] but the Canton of Geneva (the city and its closest Swiss suburbs and exurbs) had a population of 504,128 (Jan. 2020 estimate)[5] over 246 km2 (95 sq mi),[6] and together with the suburbs and exurbs located in the canton of Vaud and in the French departments of Ain and Haute-Savoie the cross-border Geneva metropolitan area as officially defined by Eurostat,[7] which extends over 2,292 km2 (885 sq mi),[8] had a population of 1,044,766 in Jan. 2020 (Swiss estimates and French census).[9]
Since 2013, the Canton of Geneva, the Nyon District (in the canton of Vaud), and the Pôle métropolitain du Genevois français (literally 'Metropolitan hub of the French Genevan territory'), this last one a federation of eight French intercommunal councils, have formed Grand Genève ("Greater Geneva"), a Local Grouping of Transnational Cooperation (GLCT in French, a public entity under Swiss law) in charge of organizing cooperation within the cross-border metropolitan area of Geneva (in particular metropolitan transports).[10] The Grand Genève GLCT extends over 1,996 km2 (771 sq mi)[11] and had a population of 1,037,407 in Jan. 2020 (Swiss estimates and French census), 58.4% of them living on Swiss territory, and 41.6% on French territory.[12]
Geneva is a global city, a financial centre, and a worldwide centre for diplomacy due to the presence of numerous international organizations, including the headquarters of many agencies of the United Nations[13] and the Red Cross.[14] Geneva hosts the highest number of international organizations in the world.[15] It is also where the Geneva Conventions were signed, which chiefly concern the treatment of wartime non-combatants and prisoners of war. Together with, for instance, New York City (global headquarters of the UN), Basel (Bank for International Settlements), and Strasbourg (Council of Europe), Geneva is a city serving as the headquarters of one of the most important international organizations, without being the capital of a country.[16][17][18]
In 2021, Geneva was ranked as the world's ninth most important financial centre for competitiveness by the Global Financial Centres Index, fifth in Europe behind London, Zürich, Frankfurt and Luxembourg.[19] In 2019, Geneva was ranked among the ten most liveable cities in the world by Mercer together with Zürich and Basel.[20] The city has been referred to as the world's most compact metropolis[21] and the "Peace Capital".[22] In 2019, Mercer ranked Genewith the Italian port city of Genoa (in Italian Genova).[26]
va as the thirteenth most expensive city in the world.[23] In a UBS ranking of global cities in 2018, Geneva was ranked first for gross earnings, second most expensive, and fourth in purchasing power.[24]
- published: 16 Mar 2023
- views: 59