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Harun Bolat and Baha Sen
In the biomedical field, accessing data by classical methods is getting more difficult day by day, as it is in any other field, due to the data growth rate. Different methods are needed to access the desired data more quickly. In particular, more specifi...
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Md Saiful Islam and Fei Liu
In the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs. In this paper, we propose to build a domain-specific medi...
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Dipali Koshti, Ashutosh Gupta, Mukesh Kalla, Arvind Sharma
Pág. 111 - 128
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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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Siyuan Cheng, Didi Yin, Zhuoyan Hou, Zihao Shi, Dongyu Wang and Qiang Fu
Intelligent customer service system is timely, efficient, and accurate, which is more and more popular in grid electric power companies, and the amount of customer consultation is increasing day by day. It is infeasible for human customer service to answ...
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Hao Sun, Shu Wang, Yunqiang Zhu, Wen Yuan and Zhiqiang Zou
In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding a...
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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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Jonghyeon Yang, Hanme Jang and Kiyun Yu
Recently, open-domain question-answering systems have achieved tremendous progress because of developments in large language models (LLMs), and have successfully been applied to question-answering (QA) systems, or Chatbots. However, there has been little...
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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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Qiuhong Zhai, Wenhao Zhu, Xiaoyu Zhang and Chenyun Liu
In recent years, dense retrieval has emerged as the primary method for open-domain question-answering (OpenQA). However, previous research often focused on the query side, neglecting the importance of the passage side. We believe that both the query and ...
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