400 Open source projects that are alternatives of or similar to viewpoint-mining

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

Weakly supervised medical named entity classification

2019达观杯信息提取第5名代码

中文NER的那些事儿

🤗 ParsBERT Persian NER Tasks

Anonymization of legal cases (Fr) based on Flair embeddings

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.

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

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

BERT-BiLSTM-CRF的Keras版实现

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

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

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

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

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

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

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

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.

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

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

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。

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）

Large Data Analysis Course Project

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

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

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

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

2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案

Abstractive and Extractive Text summarization using Transformers.

sohucampus2019 baseline

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

Cross-Lingual Machine Reading Comprehension (EMNLP 2019)

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

Score your NLP paper review

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

[AAAI 2021] TextWiser: Text Featurization Library

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

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

GroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

Natural Language Attacks in a Hard Label Black Box Setting.

Berserker - BERt chineSE woRd toKenizER

NLP framework in python for entity recognition and relationship extraction

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

Emoji sentiment data

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.

Developer friendly Natural Language Processing ✨

BiLSTM-CRF model for NER

No description or website provided.

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

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

No description or website provided.

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

Must-read papers on prompt-based tuning for pre-trained language models.

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Tensorflow Node.js Examples

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