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PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
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
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.
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
Insightful Tutorials and Papers about Knowledge Graphs
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
ChineseNER based on BERT, with BiLSTM+CRF layer