Stanford NER
3.5.1Stanford NER for Mac, A Conditional Random Field sequence model
Stanford NER is a free and open source utility that provides a high-performance machine learning based named entity recognition system, including facilities to train models from supervised training data and pre-trained models for English. Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.
Conclusion
To conclude Stanford NER works on Mac operating system and can be easily downloaded using the below download link according to GNU Public License license. The download file is only 157.7 MB in size.Stanford NER was filed under the Math category and was reviewed in softlookup.com and receive 3/5 Score.
Stanford NER has been tested by our team against viruses, spyware, adware, trojan, backdoors and was found to be 100% clean. We will recheck Stanford NER when updated to assure that it remains clean.
Stanford NER user Review
Please review Stanford NER application and submit your comments below. We will collect all comments in an effort to determine whether the Stanford NER software is reliable, perform as expected and deliver the promised features and functionalities.Popularity 6/10 - Downloads - 458 - Score - 3/5
| Category: | Math |
| Publisher: | Stanford NLP Group |
| Last Updated: | 03/09/2019 |
| Requirements: | Mac OS X |
| License: | GNU Public License |
| Operating system: | Mac |
| Hits: | 305 |
| File size: | 157.7 MB |
| Price: | Not specified |
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