Question Answering Over Temporal Knowledge Graphs is an important topic in question answering, which aims to find an entity or timestamp to answer temporal reasoning questions from temporal knowledge graphs. Answering complex questions remains a major challenge for question answering over temporal ...
the questions in the DCQA dataset necessitate a certain level of common-sense for logical reasoning. The dataset comprises 50,010 generated documents containing charts and 699,051 questions that that demand a high degree of reasoning ability and common-sense understanding. It has been partitioned ...
【论文阅读】 Asking Complex Questions with Multi-hop Answer-focused Reasoning,程序员大本营,技术文章内容聚合第一站。
Case-based Reasoning for Natural Language Queries over Knowledge Bases(EMNLP 2021) 做到了70,目前的SOTA,比第二名高20个点 3. 密歇根大学的Nikita Bhutani,在CWQ上有两篇工作 Learning to Answer Complex Questions over Knowledge Bases with Query Composition (CIKM2019) 提出了TEXTRAY Answering Complex Questi...
Aptitude Interview Questions Java Interview Questions SQL Interview Questions Sonata (65) Analytical Ability Interview Questions C Interview Questions TCS (396) Aptitude Interview Questions C FAQs COBOL Interview Questions Critical Reasoning Questions Quantitative Aptitude Questions Wipro (217) Analytical Ability...
SQL Interview Questions Sonata(65) Analytical Ability Interview Questions C Interview Questions TCS(396) Aptitude Interview Questions C FAQs COBOL Interview Questions Critical Reasoning Questions Quantitative Aptitude Questions Wipro(217) Analytical Ability Interview Questions ...
proposed contrastive chain of thought (CoT) [42], which improves the accuracy of reasoning results by adding both correct and incorrect reasoning CoTs together to the model inputs when reasoning about a problem and guiding the model to generate correct reasoning CoTs. To address the limitations ...
If facts can be reasonably denied, then my reasoning to a unifer can be reasonably rejected. But that's a whole other can of worms: the truthmaker argument. Analytically considered, a fact is just its constituents. But holistically considered it is not. Unity eludes analysis, and yet ...
This work presents Exaqt : EXplainable Answering of complex Questions with Temporal intent, a system that does not rely on manual rules for question understanding and reasoning.(这项工作提出了 Exaqt:具有时间意图的复杂问题的可解释回答,这是一个不依赖手动规则来理解和推理问题的系统。) ...
Modern AI agents, capable of perceiving, reasoning, and acting on our behalf, are demonstrating remarkable performance in areas such as software engineering, data analysis, scientific research, and web navigation. Still, to fully realize the long-held vision of agen...