13,322 research outputs found
Comparison of Dietary Control and Atorvastatin on High Fat Diet Induced Hepatic Steatosis and Hyperlipidemia in Rats
Complex Knowledge Base Question Answering: A Survey
Knowledge base question answering (KBQA) aims to answer a question over a
knowledge base (KB). Early studies mainly focused on answering simple questions
over KBs and achieved great success. However, their performance on complex
questions is still far from satisfactory. Therefore, in recent years,
researchers propose a large number of novel methods, which looked into the
challenges of answering complex questions. In this survey, we review recent
advances on KBQA with the focus on solving complex questions, which usually
contain multiple subjects, express compound relations, or involve numerical
operations. In detail, we begin with introducing the complex KBQA task and
relevant background. Then, we describe benchmark datasets for complex KBQA task
and introduce the construction process of these datasets. Next, we present two
mainstream categories of methods for complex KBQA, namely semantic
parsing-based (SP-based) methods and information retrieval-based (IR-based)
methods. Specifically, we illustrate their procedures with flow designs and
discuss their major differences and similarities. After that, we summarize the
challenges that these two categories of methods encounter when answering
complex questions, and explicate advanced solutions and techniques used in
existing work. Finally, we conclude and discuss several promising directions
related to complex KBQA for future research.Comment: 20 pages, 4 tables, 7 figures. arXiv admin note: text overlap with
arXiv:2105.1164
The Online Data Quality Monitoring System at BESIII
The online Data Quality Monitoring (DQM) plays an important role in the data
taking process of HEP experiments. BESIII DQM samples data from online data
flow, reconstructs them with offline reconstruction software, and automatically
analyzes the reconstructed data with user-defined algorithms. The DQM software
is a scalable distributed system. The monitored results are gathered and
displayed in various formats, which provides the shifter with current run
information that can be used to find problems early. This paper gives an
overview of DQM system at BESIII.Comment: Already submit to Chinese Physics
Improving multi-hop knowledge base question answering by learning intermediate supervision signals
National Research Foundation (NRF) Singapore under International Research Centres in Singapore Funding InitiativeThe code is available at https://github.com/RichardHGL/WSDM2021_NSM</p
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