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

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Named Entity Recognition data for Europeana Newspapers

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

bert-bilstm-crf implemented in pytorch for named entity recognition.

Federated Knowledge Extraction Framework

modest natural-language processing

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

data resource untuk NLP bahasa indonesia

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

A text tagger based on Lucene / Solr, using FST technology

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

a sklearn wrapper for Google's BERT model

A very simple framework for state-of-the-art Natural Language Processing (NLP)

基于深度学习的自然语言处理库

A pythonic wrapper for Stanford CoreNLP.

中文分词 词性标注 命名实体识别 依存句法分析 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 自然语言处理

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Deep neural network based model for sequence to sequence classification

State of the Art Natural Language Processing

📖 Labeled examples from wiki dumps in Python

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

BNLP is a natural language processing toolkit for Bengali Language.

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

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

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

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

A curated list of NLP resources for Hungarian

Named Entity Recognition with BERT using TensorFlow 2.0

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

ChineseNER based on BERT, with BiLSTM+CRF layer

Python wraper for MetaMap

Named Entity Recognition (LSTM + CRF) - Tensorflow

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

GERBIL - General Entity annotatoR Benchmark

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

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/

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

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

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

👩‍🏫 Advanced NLP with spaCy: A free online course

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

基于BI-LSTM+CRF的中文命名实体识别 Pytorch

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

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

Implementation of Nested Named Entity Recognition using BERT

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

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。

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

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

Vietnamese NLP Toolkit for Node

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

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