CLARIN
clarin.eu βΊ resource-families βΊ tools-named-entity-recognition
Tools for Named Entity Recognition | CLARIN ERIC - Common Language Resources and Technology Infrastructure
Named entity recognition (NER) ... for example, help with the classification of news content, content recommentations and search algorithms. The CLARIN infrastructure offers 23 tools for NER....
Poolparty
ner-demo.poolparty.biz
Entity Recognition Demo
PoolParty Demo for Named Entity Recognition, Concept Extraction and Classification
Videos
05:01
Best way to do Named Entity Recognition in 2024 with GliNER and ...
22:34
Named Entity Recognition (NER): NLP Tutorial For Beginners - S1 ...
16:14
πππ ππ«π¨π£πππ (Part 2): Building A ...
25:12
Named Entity Recognition (NER) in Python: Pre-Trained & Custom ...
16:10
NLP Projects | How to Perform Named Entity Recognition (NER) on ...
33:34
Named Entity Recognition Tutorial, Concept, Open-Source Python ...
Textanalysisonline
textanalysisonline.com βΊ spacy-named-entity-recognition-ner
spaCy Named Entity Recognizer (NER) - API & Demo | Text Analysis Online | TextAnalysis
Named Entity Recognition Β· LanguageDetector Β· Language Detection Introduction Β· LangId Language Detection Β· Custom Β· Custom Service Β· Keyword Extraction Β· Text Summarization Β· Sentiment Analysis Β·
Alteryx
help.alteryx.com βΊ current βΊ en βΊ designer βΊ tools βΊ alteryx-intelligence-suite βΊ text-mining βΊ named-entity-recognition.html
Named Entity Recognition
Use the Named Entity Recognition tool to identify entities, like people, places, and things, in text. The tool leverages the named entity recognition capabilities in the spaCy package.
Opener-project
opener-project.eu
The OpeNER Project
More precisely, OpeNER aims to ... about certain resource (e.g. hotels and accommodations) in Web reviews. OpeNER excels at detecting sentiments, opinions and named entities in texts....
Komprehend
komprehend.io βΊ named-entity-recognition
Named Entity Recognition | Komprehend AI APIs
Named Entity Recognition API seeks to locate and classify elements in text into definitive categories such as names of persons, organizations, locations. It can extract this information in any type of text, be it a web page, piece of news or social media content.
Dandelion API
dandelion.eu βΊ semantic-text
demo | Entity Extraction: find places, people, brands, and events ...
Try Dandelion Entity Extraction API demo, to find places, people, brands, and events in documents and social media
Stanford NLP Group
nlp.stanford.edu βΊ software βΊ CRF-NER.shtml
Software > Stanford Named Entity Recognizer (NER)
About | Citation | Getting started | Questions | Mailing lists | Download | Extensions | Models | Online demo | Release history | FAQ Β· Stanford NER is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names ...
MonkeyLearn
monkeylearn.com βΊ blog βΊ named-entity-recognition
Named Entity Recognition: Concept, Tools and Tutorial
Automatically alert and surface emerging trends and missed opportunities to the right people based on role, prioritize support tickets, automate agent scoring, and support various workflows β all in real-time. Create alerts based on any change in categorization, sentiment, or any AI model, including effort, CX Risk, or Employee Recognition.
Top answer 1 of 3
1
Founderof LightTag here
We provide a super convenient interface to do span annotations such as named entity recognition, classifications and relationships.
You can work as one labeler or bring in a team and LightTag will disribute work between everyone automatically (no more selecting files and remembering what you labeled already) .

You can upload your own suggestions and let labelers use those, or use LightTags built in model.
Of course you can annotate at the character level and highlight subwords or multi word phrases.

2 of 3
0
You can try https://github.com/lasigeBioTM/MER (bash) see the demo at http://labs.fc.ul.pt/mer/