A Unified Understanding of Deep NLP Models for Text Classification

IV第11回 【情報可視化特論】テキスト分類のためのDeepNLPモデルの統一的な理解【論文解説】 R4.12.06

What is T5 Model?

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (reading papers)

How to Explain Text Models with IntepretML Deep Dive

Most powerful NLP Language models in 2022

勉強会／Multi-Task Deep Neural Networks for Natural Language Understanding

How to Explain Text Models with InterpretML - Deep Dive | INT186A

DocuSign における文書理解のための統合された CV、OCR、NLP モデル パイプライン | NLPサミット2020

Introduction to Natural Language Processing (NLP) for Classification 5

BERT: NLP の転移学習

Sibylvariant Transformations for Robust Text Classification (Findings of ACL 2022)

Meta Transformer: A Unified Framework for Multimodal Learning

統合された Text-to-Text Transformer を使用して転移学習の限界を探る

The Unified NLP Platform

Deep Learning for Natural Language Processing (Alexis Roos & Dr. Wenhao Liu)

TensorFlow London: TensorFlow 2 のトランスフォーマーを使用したテキスト分類 (David Mráz 著)

DeText: LinkedIn's Framework for Deep Natural Language Understanding

"Brief Intro to Natural Language Processing (NLP)" by Andrew (AJ) Rader

Deep Learning and Modern NLP - Zachary S Brown