multi-hop reasoning属于复杂问题的一类子场景(例如另一类常见的场景为带约束的问题),与之对应的简答问题一般指single-fact的场景,即在图谱中由一组三元组即可满足解答要求。 论文清单 Commonsense for generative multi-hop question answering tasks. EMNLP 2018 Variational reasoning for question answering with knowledg...
Multi-hop reasoning is an essential part of the current reading comprehension and question answering areas. The reasoning methods have been extensively studied, and most of them are generally focused on the pre-retrieval based inference, with the help of a few paragraphs. These methods are fixed ...
AkariAsai/learning_to_retrieve_reasoning_paths Star429 The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering". retrievalsquadreading-comprehensionmulti-hop-reasoningnatural-questionshotpotqaopen-domain-qa ...
rsocher,cmxiong}@salesforce.comAbstractMulti-hop reasoning is an effective approachfor query answering (QA) over incompleteknowledge graphs (KGs). The problem can beformulated in a reinforcement learning (RL)setup, where a policy-based agent sequentiallyextends its...
文本问答(TBQA)近年来得到了广泛的研究。大多数现有的方法主要是在一个段落内找到问题的答案。然而许多困难的问题需要在两个或多个文档之中寻找答案。本文提出了动态融合图形网络(DFGN)这种新的回答方法,为需…
It is a reinforcement learning (RL) framework which can learn multi-hop reasoning paths and continuously adjust the reasoning paths in TKGs. More importantly, we add time vectors in reasoning paths, which further improve the accuracy of reasoning paths. Meanwhile, considering the diversity of ...
Biomedical knowledge graphs permit an integrative computational approach to reasoning about biological systems. The nature of biological data leads to a graph structure that differs from those typically encountered in benchmarking datasets. To understand the implications this may have on the performance of...
This often leads models to use heuristics or shortcuts instead of performing true multi-hop reasoning. In this paper, we propose a new multi-hop dataset, MoreHopQA, which shifts from extractive to generative answers. Our dataset is created by utilizing three existing multi-hop datasets: Hotpot...
本篇文章也是企图将passage构建为一张图结构,根据图结构获得global evidence,并给予该图实现multi-hop reasoning。注意:本文所述的multi-hop reading comprehension(MHRC)是指根据多个passage寻找答案 一、动机 multi-hop reading comprehension 具有挑战的任务,如下图,不同的passage之间存在多个指代,它们之间存在关联 ...
effective multi-modal complementary features through sufficient attention interaction and noise reduction; (2) a complementary feature-aware reinforcement learning method which is proposed to predict missing elements by performing the multi-hop reasoning process, based on the features obtained in component ...