tswings Goto Github PK

aiso

Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.

amrlib

A python library that makes AMR parsing, generation and visualization simple.

averitec

beam_retriever

Code for Beam Retrieval: General End-to-End Retrieval for Multi-hop Question Answering

colossalai

Making big AI models cheaper, easier, and scalable

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

decomprc

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

dfgn-pytorch

Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

dig

A library for graph deep learning research

extraction-framework

The software used to extract structured data from Wikipedia

graph-soft-counter

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph_ensemble_learning

Graph Ensemble Learning

hgn

hotpotqa.github.io

irrr

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

opennre

An Open-Source Package for Neural Relation Extraction (NRE)

pcl

Prompt-based Conservation Learning for Multi-hop Question Answering.

penman

PENMAN notation (e.g. AMR) in Python

plmpapers

Must-read Papers on pre-trained language models.

prefixtuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

primeqa

The prime repository for state-of-the-art Multilingual Question Answering research and development.

process-data-of-cnn-dailymail

This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

prompt-tuning

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

prototex

Code for ACL 2022 paper "ProtoTEx: Explaining Model Decisions with Prototype Tensors"

ptr

Prompt Tuning with Rules

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

qdamr

qdamr4qa

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering