171 Open source projects that are alternatives of or similar to 2020CCF-NER

COVID-19 Named Entity Recognition for Vietnamese (NAACL 2021)

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

Python library and command-line tool for extracting compounds from scientific literature. Written in Python.

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

Large silver standart Russian corpus with NER, morphology and syntax markup

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NLP framework in python for entity recognition and relationship extraction

Ner with Bert

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ChineseNER based on BERT, with BiLSTM+CRF layer

天池比赛作品整理。实现从pdf中提取出姓名、出生年月、性别、电话、最高学历、籍贯、落户市县、政治面貌、毕业院校、工作单位、工作内容、职务、项目名称、项目责任、学位、毕业时间、工作时间、项目时间共18个字段。

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Named Entity Recognition (LSTM + CRF + FastText) with models for [historic] German

A (smart) rule based NLP module to extract job skills from text

NER Task with KoBERT (with Naver NLP Challenge dataset)

"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR 2020. (Modified from original with fixes for inference)

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch

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NER toolkit for HTML data

Developer friendly Natural Language Processing ✨

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

An NER tool for ancient place names based on Pleiades and Spacy.

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

where where where paper

Anonymization of legal cases (Fr) based on Flair embeddings

Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

No description or website provided.

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

🇷🇺 Punctuation restoration production-ready model for Russian language 🇷🇺

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

中文NER的那些事儿

How to build and deploy an anonymization API with FastAPI

exam project 2020

Named Entity Recognition as Dependency Parsing

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

details

Compile Elixir applications into single, easily distributed executable binaries. Spawnfest 2020 project winner 🏆

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Java Solution to the TCS Xplore Proctored Assessment 2020

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Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017

Named Entity Recognition based on dictionaries

Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

NLP Keras BiLSTM+CRF

keras+bi-lstm+crf，中文命名实体识别

BiLSTM-CRF model for NER

sohucampus2019 baseline

Weakly supervised medical named entity classification

提供强大的NLP能力, low-code实现chatbot

NLP NER datasets video/music/book bio