The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
-
Updated
Jul 25, 2024 - Python
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)"
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
Using deep learning language model BERT for open domain question answering
Add a description, image, and links to the natural-questions topic page so that developers can more easily learn about it.
To associate your repository with the natural-questions topic, visit your repo's landing page and select "manage topics."