210 Open source projects that are alternatives of or similar to Quickumls

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

PyTorch repository for text categorization and NER experiments in Turkish and English.

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

A curated list of NLP resources for Hungarian

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Named Entity Recognition with BERT using TensorFlow 2.0

Zero-shot Transfer Learning from English to Arabic

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Pytorch-Named-Entity-Recognition-with-BERT

ChineseNER based on BERT, with BiLSTM+CRF layer

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Python wraper for MetaMap

Official Stanford NLP Python Library for Many Human Languages

Named Entity Recognition (LSTM + CRF) - Tensorflow

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

GERBIL - General Entity annotatoR Benchmark

基于Pytorch和torchtext的知识图谱深度学习框架。

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Deep neural models for core NLP tasks (Pytorch version)

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

Github repo with tutorials to fine tune transformers for diff NLP tasks

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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

Learning Named Entity Tagger from Domain-Specific Dictionary

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

👩‍🏫 Advanced NLP with spaCy: A free online course

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

State-of-the-art natural language processing for Ruby

基于BI-LSTM+CRF的中文命名实体识别 Pytorch

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Textpipe: clean and extract metadata from text

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Implementation of Nested Named Entity Recognition using BERT

ADEL is a robust and efficient entity linking framework that is adaptive to text genres and language, entity types for the classification task and referent knowledge base for the linking task.

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

Thai Named Entity Recognition

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

A lightweight web-based annotation tool for labelling entity recognition data.

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

Vietnamese NLP Toolkit for Node

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

A PyTorch implementation of GraphRel

百度NLP：分词，词性标注，命名实体识别，词重要性

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

Multi-Task Deep Neural Networks for Natural Language Understanding

Japanese IOB2 tagged corpus for Named Entity Recognition.