A Rule-based Semantic Frame Annotation of Arabic Speech Turns for Automatic Dialogue Analysis

Lhioui, Chahira; Zouaghi, Anis; Zrigui, Mounir

doi:10.1016/j.procs.2017.10.093

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Although many word sense disambiguation approaches have been developed [134], [135], they typically increase the computational complexity, which may not be a desirable solution. Moreover, most of the selected articles have built their own dataset, especially for the Arabic research, and others build Arabic corpora [136], [137], [138], whereas others used translation techniques [61], [72]. However, these solutions are limited, and there is still an open-domain problem that needs a lot of attention.…”

Section: Open Research Problemsmentioning

confidence: 99%

“…However, these solutions are limited, and there is still an open-domain problem that needs a lot of attention. In addition, a limitation of Arabic annotated data sets is another problem [136]. Thus, working on providing appropriate data sets and making them available for research can be considered a valuable contribution to chatbot research.…”

Section: Open Research Problemsmentioning

confidence: 99%

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English and Arabic Chatbots: A Systematic Literature Review

Alsheddi¹,

Alhenaki²

2022

IJACSA

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In recent years, the availability of chatbot applications has increased substantially with the advancement of artificial intelligence techniques, and research efforts have been active in the English language, which presents state-of-the-art solutions. However, despite the popularity of the Arabic language, its research community is still in an immature stage. Therefore, the main objective of this systematic literature review is studying state-of-the-art researchfor both the English and Arabic languagesto answer the proposed research questions regarding the development approaches, application domains, evaluation metrics, and development challenges of chatbot applications. The findings show that researchers have devoted more attention to the education domain using retrieval-based approaches while the generation-based approach has grown in popularity recently for providing new responses tasks. Whereas the hybrid approach for ranking multi-possible responses of combining both previous approaches shows a performance improvement. Besides, most metrics used to evaluate chatbot performance are human-based, followed by bilingual evaluation understudy and accuracy metrics. However, defining a common framework for evaluating chatbots remains a challenge. Finally, the open problems and future directions are highlighted to help in developing chatbots with minimal human interference to simulate natural conversations.

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Section: Open Research Problemsmentioning

confidence: 99%

Section: Open Research Problemsmentioning

confidence: 99%

English and Arabic Chatbots: A Systematic Literature Review

Alsheddi¹,

Alhenaki²

2022

IJACSA

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“…The amount of graph data generated from diverse sources is in the exploration stage, it is a bit complex to analyze and understand the graph data. The ubiquitous presence of graphs includes social networks, citation networks, computer networks, biological networks, and the Web (Lhioui et al, 2017) (Etaiwi & Awajan, 2020) (Sun et al, 2020 (Numan et al, 2020). The rich information these days is proliferating in real-world graphs and hence the attributes associated with the characteristics and properties of the information are described as the vertices and edges of the graph.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Ternary-Based Anomaly Detection in Semantic Graphs Using Metaheuristic Algorithm

Reddy

Rajput

2021

International Journal of Digital Crime and Forensics

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At present, the field of homeland security faces many obstacles while determining abnormal or suspicious entities within the huge set of data. Several approaches have been adopted from social network analysis and data mining; however, it is challenging to identify the objective of abnormal instances within the huge complicated semantic graphs. The abnormal node is the one that takes an individual or abnormal semantic in the network. Hence, for defining this notion, a graph structure is implemented for generating the semantic profile of each node by numerous kinds of nodes and links that are associated to the node in a specific distance via edges. Once the graph structure is framed, the ternary list is formed on the basis of its adjacent nodes. The abnormalities in the nodes are detected by introducing a new optimization concept referred to as biogeography optimization with fitness sorted update (BO-FBU), which is the extended version of the standard biogeography optimization algorithm (BBO). The abnormal behavior in the network is identified by the similarities among the derived rule features. Further, the performance of the proposed model is compared to the other classical models in terms of certain performance measures. These techniques will be useful to detect digital crime and forensics.

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