403 Open source projects that are alternatives of or similar to DeepNER

A Pre-trained BERT on StackOverflow Corpus

Multi-Task Deep Neural Networks for Natural Language Understanding

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

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

A neural named entity recognition and multi-type normalization tool for biomedical text mining

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.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

State of the Art Natural Language Processing

A PyTorch-based toolkit for natural language processing

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Flexible and powerful platform for biomedical information extraction from text

Berserker - BERt chineSE woRd toKenizER

Weakly supervised medical named entity classification

No description or website provided.

XPersona: Evaluating Multilingual Personalized Chatbot

Document Enrichment plugin for Elasticsearch

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

No description or website provided.

General Architecture for Text Engineering

A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

Named Entity Recognition & Relation Extraction 实体命名识别与关系分类

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Rank 1 / 216

Abstractive and Extractive Text summarization using Transformers.

Chatbot with bert chinese model, base on rasa framework（中文聊天机器人，结合bert意图分析，基于rasa框架）

[AAAI 2021] TextWiser: Text Featurization Library

Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

A near real-time named-entity recognizer

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

A Python implementation of Farasa toolkit

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

Label data using HuggingFace's transformers and automatically get a prediction service

Tool for slot extraction from text

BERT-BiLSTM-CRF的Keras版实现

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Anonymization of legal cases (Fr) based on Flair embeddings

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction

No description or website provided.

This repository contains demos I made with the Transformers library by HuggingFace.

Score your NLP paper review

A project on achieving Named-Entity Recognition using Deep Learning.

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

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

参考NER，基于BERT的电商评论观点挖掘和情感分析

🤗 ParsBERT Persian NER Tasks

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

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

How to build and deploy an anonymization API with FastAPI