Popular GitHub Repositories for Squad

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @月来客栈

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Persian (Farsi) Question Answering Dataset (+ Models)

ALBERT model Pretraining and Fine Tuning using TF2.0

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Guide KorQuAD upload to leaderboard (EM 68.947 / F1 88.468) model which only use BERT-multilingual(single)

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

Conversational Question Answering on Clinical Text

Tensorflow QANet with ELMo

JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets

Extractive Question-Answering with BERT on SQuAD v2.0 (Stanford Question Answering Dataset) using NVIDIA PyTorch Lightning

Question Answering and Question Generation NLP tasks on the SQuAD v1.1 dataset

Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

MergedQUAD consists of splits for SQUAD-based Question-Answering in Hindi language.