Semantic patterns for user‐interactive question answering

Hao, Tianyong; Hu, Dawei; Wenyin, Liu; Zeng, Qingtian

doi:10.1002/cpe.1273

Cited by 29 publications

(31 citation statements)

References 3 publications

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“…pattern, which consists of five components: the question target, question type, concept, event, and constraint. An entropy-based method proposed in previous work [58] is applied for automated semantic pattern generation. Figure 3 shows the visualization of example FAQ data in the LMD-FAQ repository.…”

Section: The Large-scale Multilanguage Diabetes Faq Repositorymentioning

confidence: 99%

A Mobile‐Based Question‐Answering and Early Warning System for Assisting Diabetes Management

Xie

Ding

Yan³

et al. 2018

Wireless Communications and Mobile Computing

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With increasing demand for preventive management of chronic diseases in real time by using the Internet, interest in developing a convenient device on health management and monitoring has intensified. Unlike other chronic diseases, diabetes particularly type 2 is a lifelong chronic disease and usually requires daily health management by patients themselves. This study is to develop a mobilebased diabetes question-answering (Q&A) and early warning system named Dia-AID, assisting diabetes patients and populations at high risk. The Dia-AID system consists of three modules: a large-scale multilanguage diabetes frequently asked question repository, a multimode fusion Q&A framework, and a health data management module. A list of services including risk assessment and health early warning is provided to users for health condition monitoring. Using the diabetes frequently asked question repository as data, experiments are conducted on answer ranking and answer selection aspects. Results show that two essential methods in the system outperform baseline methods on both aspects.

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Section: The Large-scale Multilanguage Diabetes Faq Repositorymentioning

confidence: 99%

A Mobile‐Based Question‐Answering and Early Warning System for Assisting Diabetes Management

Xie

Ding

Yan³

et al. 2018

Wireless Communications and Mobile Computing

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“…More than one way of reading a sentence is known as semantic ambiguity [1]. Below example shows semantic ambiguity.…”

Section: Semantic Ambiguitymentioning

confidence: 99%

Ambiguity in Question Paper Translation

Vikram¹,

Dwivedi²

2018

IJMECS

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Abstract-Word sense ambiguity is a prevalent nature of machine translation for various language pairs including English-Hindi language. For example, the word "paper" has several senses which may refer to a question paper, research paper, newspaper, simple paper or a white paper. The specific sense intended is determined by the context in which an instance of the ambiguous word appears. This specific sense which is determined by the context is known as Word Sense Disambiguation (WSD). Translation of question paper is a specific application of MT wherein any type of ambiguity in question may affect the overall meaning of questions. This paper discusses types of ambiguity in the context of question paper translation (English to Hindi) and their impact on translation by analyzing a set of questions taken from National Council of Educational Research and Training (NCERT) and some other resources.

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“…Van Der Aalst et al (2003) suggests the Cancellation Pattern, that cancel instances in individual activities and Barros, Dumas, and ter Hofstede (2005) proposes the Send Pattern. Hao et al (2008) defines a question answering-pattern that enables automatically responding to questions. In Thom, Reichert, and Iochpe (2009), a Notification Pattern can be found that defines the status or result of an activity execution that is communicated to one or more process participants.…”

Section: Related Workmentioning

confidence: 99%

Improving the process of process modelling by the use of domain process patterns

Koschmider

Reijers

2013

Enterprise Information Systems

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The use of business process models has become prevalent in a wide area of enterprise applications. But while their popularity is expanding, concerns are growing with respect to their proper creation and maintenance. An obvious way to boost the efficiency of creating high-quality business process models would be to reuse relevant parts of existing models. At this point, however, limited support exists to guide process modellers towards the usage of appropriate model content. In this paper, a set of content-oriented patterns is presented, which is extracted from a large set of process models from the order management and manufacturing production domains. The patterns are derived using a newly proposed set of algorithms, which are being discussed in this paper. The authors demonstrate how such Domain Process Patterns, in combination with information on their historic usage, can support process modellers in generating new models. To support the wider dissemination and development of Domain Process Patterns within and beyond the studied domains, an accompanying website has been set up.

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Semantic patterns for user‐interactive question answering

Cited by 29 publications

References 3 publications

A Mobile‐Based Question‐Answering and Early Warning System for Assisting Diabetes Management

A Mobile‐Based Question‐Answering and Early Warning System for Assisting Diabetes Management

Ambiguity in Question Paper Translation

Improving the process of process modelling by the use of domain process patterns

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