Codes to pre-train a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.
The model is available at https://huggingface.co/megagonlabs/t5-base-japanese-web.
Apache License 2.0
CrossSum This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summ
CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel
Transformer QG on DRCD The inputs of the model refers to we integrate C and A into a new C' in the following form. C' = [c1, c2, ..., [HL], a1, ..., a
Natural Language Processing Tasks and Examples With the advancement of A.I. technology in recent years, natural language processing technology has bee
ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using
FFRecord The FFRecord format is a simple format for storing a sequence of binary records developed by HFAiLab, which supports random access and Linux
Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing（自然语言处理） Text Classificati
Feature_CRF_AE Feature_CRF_AE provides a implementation of Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio
Weaviate demo with the text2vec-openai module This repository contains an example of how to use the Weaviate text2vec-openai module. When using this d
Conversations are not Flat: Modeling the Intrinsic Information Flow between Dialogue Utterances This repository contains the code and pre-trained mode
Twitter-NLP-Analysis Business Problem I got last @turk_politika 3000 tweets with
Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co
NALP: Natural Adversarial Language Processing Welcome to NALP. Have you ever wanted to create natural text from raw sources? If yes, NALP is for you!
Style-Doc Style-Doc is Black for Python docstrings and reStructuredText (rst). It can be used to format docstrings (Google docstring format) in Python
This is partly the reproduction of the paper of [Privacy-Preserving Federated Learning in Fog Computing](DOI: 10.1109/JIOT.2020.2987958. 2020)
Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. @inproceedings{tedes
Advent-of-cyber-2019-writeup This is the writeup of all the challenges from Advent-of-cyber-2019 of TryHackMe https://tryhackme.com/shivam007/badges/c
Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe
Text Classification The purpose of this repository is to create a neural network model of NLP with deep learning for binary classification of texts re
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