The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers

The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

[SUKI'22] Table Retrieval May Not Necessitate Table-Specific Model Design

21th place (top2%) solution for kaggle TensorFlow 2.0 Question Answering

A project about fine-tuning bert-base-uncased model for reading comprehension tasks.

Repo for Google Natural Question Dataset

Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

Using deep learning language model BERT for open domain question answering

Implementation of concepts of NLP