Fusion-in-Decoder (FiD) 这篇文章提出了一个简单有效的方案。 [EACL2021] [FiD] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering OpenQA场景 如上图所示,对一个问题,首先要从外部检索相关的文章片断,比如Wikipedia。然后,使用encoder-decoder结构,以 <question, retrieved ...
【ACL 2022】KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering idea 分析fid(生成式的阅读器,对retriever得到的passages分别进行编码,然后concat做生成)的不足,提出了融合知识图谱的fid——kg-fid,构建抽取出的文章的关系,利用gnn对文章进行排序,只抽取top去做生成。达到了...
Fusion-in-Decoder models can be trained usingtrain_reader.pyand evaluated withtest_reader.py. Train train_reader.pyprovides the code to train a model. An example usage of the script is given below: python train_reader.py \ --train_data train_data.json \ --eval_data eval_data.json \ ...
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I. Fusion-in-DecoderFusion-in-Decoder models can be trained using train_reader.py and evaluated with test_reader.py.Traintrain_reader.py provides the code to train a model. An example usage of the script is given below:python train_reader.py \ --train_data train_data.json \ --eval_...
论文题目:KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering [1] 这篇文章是CMU、微软和南加州大学发表于ACL2022会议上有关开放域问答的一篇论文,在论文中作者针对开放域问答中的阅读模块,提出了一种新的方法 KG-FiD,它通过利用知识图谱和检索到段落之间的结构关系来过滤...