410 Open source projects that are alternatives of or similar to keras-bert-ner

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

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Neural Modeling for Named Entities and Morphology (Hebrew NER)

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.

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

KAREN: Unifying Hatespeech Detection and Benchmarking

A well-structured summarization dataset for the Persian language!

Financial Domain Question Answering with pre-trained BERT Language Model

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

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Automated coding using machine-learning and remapping the U.S. nonprofit sector: A guide and benchmark

基于vue3 element plus的快速表单生成器

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

解读tensorflow版本Bert中modeling.py数据流

Collecting product information from Dutch supermarkets: Albert Heijn and Jumbo using the Mobile API

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

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

How to build and deploy an anonymization API with FastAPI

A machine learning software for extracting information from scholarly documents

Bangla-Bert is a pretrained bert model for Bengali language

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

NER Task with KoBERT (with Naver NLP Challenge dataset)

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

Basic exercises of chinese information processing

Cross-Lingual Machine Reading Comprehension (EMNLP 2019)

Sentence transformers models for SpaCy

Named-entity recognition for Ruby

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

基于bert4keras的GLUE基准代码

[EACL'21] Non-Autoregressive with Pretrained Language Model

Persian Bert For Long-Range Sequences

Chinese word segmentation in tensorflow 2.x

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Source code for the ACL workshop paper and Kaggle competition by Google AI team

DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

Easy to use NLP library built on PyTorch and TorchText

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

bert sentiment analysis tensorflow serving with RESTful API

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

提供强大的NLP能力, low-code实现chatbot

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

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

BERT-BiLSTM-CRF的Keras版实现

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

A frame-semantic parsing system based on a softmax-margin SegRNN.

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

Abstractive and Extractive Text summarization using Transformers.

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

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

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

CIKM 2020: Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots