Pytorch implementation of "An Interpretable Reasoning Network for Multi-Relation Question Answering"
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Updated
Jul 2, 2020 - Python
Pytorch implementation of "An Interpretable Reasoning Network for Multi-Relation Question Answering"
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
Evaluation framework for open-domain question answering.
This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
Question Answering Interactive System
Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
Code for the ACL2022 paper "C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References"
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
📔 notes for Multi-hop Reading Comprehension and open-domain question answering
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
Papers in the field of Open Domain, Personalized Conversational AI.
Awesome Question Answering
The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
Open-Retrieval Conversational Machine Reading: A new setting & OR-ShARC dataset
蔡老師的課程作業
A Daliy Dialogue Context Generator trained with Bloom and GPT
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
Modifications to Fusion in Decoder architecture to make more it efficient
Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
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