localminimum/R-net
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
$ git clone https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths.gitA Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
▲ +1 ★ this week
Persian (Farsi) Question Answering Dataset (+ Models)
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
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.
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Data from GitHub · snapshot Nov 13, 2026