#自然语言处理#Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
翻译 - PyTorch 中的开源预训练模型框架和预训练模型 Zoo
#自然语言处理#Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
#自然语言处理#Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
#自然语言处理#BERT-NER (nert-bert) with google bert https://github.com/google-research.
#自然语言处理#NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务
#自然语言处理#A list of pretrained Transformer models for the Russian language.
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Keras Implementation of Aspect based Sentiment Analysis
The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
reference tensorflow code for named entity tagging
Exploring the simple sentence similarity measurements using word embeddings
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
#计算机科学#This repo contains all the notebooks mentioned in blog.
A text classification example with Bert/ELMo/GloVe in pytorch
#搜索#Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon m...