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Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
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Jonghyeon Yang, Hanme Jang and Kiyun Yu
In recent years, question answering on knowledge bases (KBQA) has emerged as a promising approach for providing unified, user-friendly access to knowledge bases. Nevertheless, existing KBQA systems struggle to answer spatial-related questions, prompting ...
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Hasna Boumechaal and Zizette Boufaida
Querying Linked Data is one of the most important issues for the semantic web community today because it requires the user to understand the structure and vocabularies used in various data sources. Furthermore, users must be familiar with the syntax of q...
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Wenhao Zhu, Xiaoyu Zhang, Qiuhong Zhai and Chenyun Liu
In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers. However, the performance of OpenQA systems is often hindered by issues su...
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Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O?Brien, Erika Frydenlund and Ross Gore
Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives. Agent-based models and simulations consist of simulated agent...
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Shaimaa Haridy, Rasha M. Ismail, Nagwa Badr and Mohamed Hashem
Ontologies provide a powerful method for representing, reusing, and sharing domain knowledge. They are extensively used in a wide range of disciplines, including artificial intelligence, knowledge engineering, biomedical informatics, and many more. For s...
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Mohammad Daoud
Questions are crucial expressions in any language. Many Natural Language Processing (NLP) or Natural Language Understanding (NLU) applications, such as question-answering computer systems, automatic chatting apps (chatbots), digital virtual assistants, a...
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Wen Li, Junfei Xu and Qi Chen
Semantic code retrieval is the task of retrieving relevant codes based on natural language queries. Although it is related to other information retrieval tasks, it needs to bridge the gaps between the language used in the code (which is usually syntax-sp...
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Kirill Yakunin, Ravil I. Mukhamediev, Marina Yelis, Yan Kuchin, Adilkhan Symagulov, Vitaly Levashenko, Elena Zaitseva, Margulan Aubakirov, Nadiya Yunicheva, Elena Muhamedijeva, Viktors Gopejenko and Yelena Popova
The paper presents the results of a correlation analysis between the information trends in the electronic media of Kazakhstan and indicators of the epidemiological situation of COVID-19 according to the World Health Organization (WHO). The developed meth...
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Hai-Yan Yao, Wang-Gen Wan and Xiang Li
Analysis of pedestrians? motion is important to real-world applications in public scenes. Due to the complex temporal and spatial factors, trajectory prediction is a challenging task. With the development of attention mechanism recently, transformer netw...
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