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Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
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| 8 |
Towards a theoretical understanding of word and relation representation
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Representation of Explanations of Possibilistic Inference Decisions
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In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021)
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Injecting Inductive Biases into Distributed Representations of Text ...
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Querying knowledge graphs in natural language ...
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Abstract:
Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowledge in query languages such as SPARQL. Moreover, end-users need a deep understanding of the structure of the underlying data models often based on the Resource Description Framework (RDF). This drawback has led to the development of Question-Answering (QA) systems that enable end-users to express their information needs in natural language. While existing systems simplify user access, there is still room for improvement in the accuracy of these systems. In this paper we propose a new QA system for translating natural language questions into SPARQL queries. The key idea is to break up the translation process into 5 smaller, more manageable sub-tasks and use ensemble machine learning methods as well as Tree-LSTM-based neural network models to automatically learn and translate a natural language question ...
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Keyword:
006 Spezielle Computerverfahren; 410.285 Computerlinguistik; Knowledge graphs; Natural language processing; Query processing; SPARQL
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URL: https://dx.doi.org/10.21256/zhaw-21263
https://digitalcollection.zhaw.ch/handle/11475/21263
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| 16 |
RefWUG: Diachronic Reference Word Usage Graphs for German ...
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Αναγνώριση νοηματικής γλώσσας με τεχνικές βαθιάς μηχανικής μάθησης ... : Deep learning based sign language recognition ...
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RefWUG: Diachronic Reference Word Usage Graphs for German ...
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