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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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James C. L. Chow, Leslie Sanders and Kay Li
Context: In cancer centres and hospitals particularly during the pandemic, there was a great demand for information, which could hardly be handled by the limited manpower available. This necessitated the development of an educational chatbot to dissemina...
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Sareh Aghaei, Kevin Angele, Elwin Huaman, Geni Bushati, Mathias Schiestl and Anna Fensel
Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages. This paper categorizes the search ...
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Bhushan Zope, Sashikala Mishra, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha and Ranjeet Vasant Bidwe
Question Answer System (QAS) automatically answers the question asked in natural language. Due to the varying dimensions and approaches that are available, QAS has a very diverse solution space, and a proper bibliometric study is required to paint the en...
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Addi Ait-Mlouk, Sadi A. Alawadi, Salman Toor and Andreas Hellander
Machine reading comprehension (MRC) of text data is a challenging task in Natural Language Processing (NLP), with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD) and Conversational Question Answering (Co...
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Haoriqin Wang, Huarui Wu, Huaji Zhu, Yisheng Miao, Qinghu Wang, Shicheng Qiao, Haiyan Zhao, Cheng Chen and Jingjian Zhang
Rice has a wide planting area as one of the essential food crops in China. The problem of diseases and pests in rice production has always been one of the main factors affecting its quality and yield. It is essential to provide treatment methods and mean...
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Panning Liang, Mingyang Yu and Lincheng Jiang
In 2013, China proposed the ?Belt & Road Initiative? which aims to invest the ?Belt & Road? countries so as to help them develop their infrastructure and economy. China consumes the largest part of fossil energy of the whole world, so it is China...
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Jong-Gyu Shin, Ga-Young Choi, Han-Jeong Hwang and Sang-Ho Kim
With the development of artificial intelligence technology, voice-based intelligent systems (VISs), such as AI speakers and virtual assistants, are intervening in human life. VISs are emerging in a new way, called human?AI interaction, which is different...
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