language-understanding

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Mengzi Pretrained Models

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).

a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Pre-training of Language Models for Language Understanding

[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko

[RA-L] DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.

[ICRA 2023] Learning Visual-Audio Representations for Voice-Controlled Robots

NLTK inspired Parts-of-Speech Tagger (Perceptron Tagger) in Rust

Simple, cross-platform port of GloVe embeddings, written in C

DropSuit - NLP & data manipulation library for JS & Node.js. Offers diverse functions for text analysis, language understanding & more. Open-source under Apache License 2.0.

Dataset parsers from the SuperGLUE benchmark https://super.gluebenchmark.com/tasks/

Chatbot that use Conversational Language Understanding ,Custom question answering and Application Insights

Neural network model to measure semantic similarity between sentences.