582 Open source projects that are alternatives of or similar to WSDM-Cup-2019

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

Natural Language Processing Best Practices & Examples

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

BERT, LDA, and TFIDF based keyword extraction in Python

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

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…

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Text Classification in Turkish Texts with Bert

State of the Art Natural Language Processing

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

Multi-Task Deep Neural Networks for Natural Language Understanding

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A PyTorch-based toolkit for natural language processing

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

BERT Extension in TensorFlow

基于bert4keras的GLUE基准代码

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

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…

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

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

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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.

NLP made easy

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

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

Mapping a variable-length sentence to a fixed-length vector using BERT model

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

A collection of natural language processing notebooks.

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

Discourse Based Evaluation of Language Understanding

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

Weakly supervised medical named entity classification

(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

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Deep Learning Transformer models in MATLAB

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

参考NER，基于BERT的电商评论观点挖掘和情感分析

Official implementation of "Explicit Interaction Model towards Text Classification"

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

✔️Contextual word checker for better suggestions

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Persian Bert For Long-Range Sequences

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Pytorch Implementation of GoEmotions 😍😢😱

XPersona: Evaluating Multilingual Personalized Chatbot

An open information extraction system that provides compact extractions