Multi hop reasoning
Web31 aug. 2024 · Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs (KGs). The problem … WebMulti-Hop reasoning is a typical sequential decision problem, which can be formulated as a Markov decision process (MDP). Subsequently, some reinforcement learning (RL) based approaches are proposed and proven effective to train an agent for reasoning paths sequentially until reaching the target answer. However, these approaches assume that …
Multi hop reasoning
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WebBetaE is a multi-hop knowledge graph reasoning framework. It models queries and entities with probabilistic Beta embeddings using neural logical operators, and provides the first … Webthe more challenging multi-hop reasoning task. Here we present Scalable Multi-hOp REasoning (SMORE), the first general framework for both single-hop and multi-hop reasoning in KGs. Using a single machine SMORE can perform multi-hop reasoning in Freebase KG (86M entities, 338M edges), which is 1,500 larger than previously …
WebGenerating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension: WWW 2024: QG工作: 5* Asking Complex Questions with Multi-hop Answer-focused Reasoning: arXiv 2024: QG工作: 6* Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation: arXiv 2024: 7* Unsupervised Multi-hop … Web16 apr. 2024 · Multi-Hop Knowledge Graph Reasoning with Reward Shaping. Xi Victoria Lin, Richard Socher, Caiming Xiong. EMNLP 2024. paper code. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. EMNLP 2024. paper code.
WebHere we present Scalable Multi-hOp REasoning (SMORE), the first general framework for both single-hop and multi-hop reasoning in KGs. Using a single machine SMORE can perform multi-hop reasoning in Freebase KG (86M entities, 338M edges), which is 1,500x larger than previously considered KGs. Web5 apr. 2024 · Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout. reinforcement-learning pytorch knowledge-graph policy …
Web8 iul. 2024 · Multihop knowledge reasoning aims to find missing entities for incomplete triples by finding paths on knowledge graphs. It is a fundamental and important task. In this article, we devise a hierarchical reinforcement learning algorithm to model the reasoning process more effectively. Unlike existing methods directly reason on entities and …
Web14 apr. 2024 · Multi-hop question answering over knowledge graphs (KGs) is a crucial and challenging task as the question usually involves multiple relations in the KG. Thus, it requires elaborate multi-hop reasoning with multiple relations in the KG. Two existing categories of methods, namely semantic parsing-based (SP-based) methods and … bing doctorWeb14 apr. 2024 · Multi-Hop Reasoning Question Generation and Its Application Abstract: This article focuses on the topic of multi-hop question generation (QG), which aims to … cytoplasm school analogyWeb26 iul. 2024 · With the proliferation of large-scale knowledge graphs (KGs), multi-hop knowledge graph reasoning has been a capstone that enables machines to be able to handle intelligent tasks, especially where some explicit reasoning path is appreciated for decision making. To train a KG reasoner, supervised learning-based methods suffer from … cytoplasm root wordWeb7 oct. 2024 · Multi-hop question answering requires models to gather information from different parts of a text to answer a question. Most current approaches learn to address … bing dna facts uWeb2 oct. 2024 · Multi-hop reasoning question answering is a sub-task of machine reading comprehension (MRC) which aims to find the answer of a given question across multiple passages. Most existing models usually obtain the answer by visiting the question only once so that models may not obtain adequate text information. In this paper, we propose a … cytoplasm sentenceWeb15 iul. 2024 · 多跳问题生成 (Multi-hop Question Generation, QG )的目的是通过对不同段落中多个分散的证据进行汇总和推理，生成与答案相关的问题。 解决两个问题：1.如何有效地识别分散的证据，可以连接答案和问题的推理路径。 2.如何推理多个分散的证据来产生事实连贯的问题。 识别分散的证据，可以连接答案和问题的推理路径： 方法（模型） 为了 … bing dna facts quizyyyWeb14 apr. 2024 · Multi-hop question answering over knowledge graphs (KGs) is a crucial and challenging task as the question usually involves multiple relations in the KG. Thus, it … bing dns_probe_finished_nxdomain