184 Open source projects that are alternatives of or similar to naacl2019-select-pretraining-data-for-ner

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。

中文NER的那些事儿

NLP Keras BiLSTM+CRF

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

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

BiLSTM_CRF中文实体命名识别

2019达观杯信息提取第5名代码

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

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

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

How to build and deploy an anonymization API with FastAPI

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

Simple library to work with pre-trained ELMo models in TensorFlow

NLP NER datasets video/music/book bio

提供强大的NLP能力, low-code实现chatbot

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

Anonymization of legal cases (Fr) based on Flair embeddings

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

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

Exploring the simple sentence similarity measurements using word embeddings

Weakly supervised medical named entity classification

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.

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

Ner with Bert

NLP framework in python for entity recognition and relationship extraction

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

NER toolkit for HTML data

keras+bi-lstm+crf，中文命名实体识别

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

BERT-BiLSTM-CRF的Keras版实现

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

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

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

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

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

Python library for custom entity recognition using Sklearn CRF

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

Neural Modeling for Named Entities and Morphology (Hebrew NER)

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

NER Task with KoBERT (with Naver NLP Challenge dataset)

sohucampus2019 baseline

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 as Dependency Parsing

details

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

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

时间转换工具

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

AllenNLP Startup Guide

😋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）。

把李航老师《统计学习方法》的后几章的算法都用java实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer

Named Entity Recognition based on dictionaries

Developer friendly Natural Language Processing ✨

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

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

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

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.

Utilities and boilerplate code to use wandb with allennlp

Chinese word segmentation in tensorflow 2.x