Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Recognizers Text | 1,644 | 16 | 28 | 6 months ago | 70 | May 09, 2023 | 193 | mit | C# | |
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text | ||||||||||
Entity Recognition Datasets | 1,386 | 8 months ago | 7 | mit | Python | |||||
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types. | ||||||||||
Ner Bert Pytorch | 306 | 2 years ago | 18 | mit | Python | |||||
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model. | ||||||||||
Vert Papers | 245 | 8 months ago | 27 | mit | Python | |||||
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA). | ||||||||||
Entity_extractor_by_pointer | 119 | 8 months ago | Python | |||||||
使用torch整合两种经典的指针NER抽取范式,分别是SpanBert和苏神的GlobalPointer,简单加了些tricks,配置后一键运行 | ||||||||||
Ruijin_round1 | 101 | 5 years ago | Jupyter Notebook | |||||||
瑞金医院MMC人工智能辅助构建知识图谱大赛初赛 | ||||||||||
Hvpnet | 66 | 10 months ago | mit | Python | ||||||
Code for the NAACL2022 paper "Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction" | ||||||||||
Ner Re Pt | 57 | 7 years ago | 1 | Python | ||||||
Named entity extraction from Portuguese web text | ||||||||||
Php Nlp Client | 54 | 2 | 1 | a year ago | 9 | August 20, 2020 | 6 | mit | PHP | |
PHP Client for NLP Server | ||||||||||
Visner | 52 | 2 years ago | 17 | mit | HTML | |||||
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end. |