205 Open source projects that are alternatives of or similar to ark-nlp

🤗 ParsBERT Persian NER Tasks

基于bert进行中文文本纠错

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

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement

BERT-BiLSTM-CRF的Keras版实现

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

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Regularized Adversarial Training

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

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

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。

2019达观杯信息提取第5名代码

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

Visualize BERT's self-attention layers on text classification tasks

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

LAMB Optimizer for Large Batch Training (TensorFlow version)

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

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

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莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

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

Chinese NLP Data Augmentation， BERT Contextual Augmentation

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

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

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A BERT-based reverse dictionary of Korean proverbs

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

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)

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

中文NER的那些事儿

✔️Contextual word checker for better suggestions

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Fine-grained Sentiment Classification Using BERT

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

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

Financial Domain Question Answering with pre-trained BERT Language Model

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…

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

This repo is the home of Romanian Transformers.

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

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基于bert4keras的GLUE基准代码

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…

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

XPersona: Evaluating Multilingual Personalized Chatbot

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

Pytorch Implementation of GoEmotions 😍😢😱

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

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

No description or website provided.

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