Detecting Events of Daily Living Using Multimodal Data

Oh, Hyungik; Jain, Ramesh

doi:10.48550/arxiv.1905.09402

Cited by 4 publications

(5 citation statements)

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“…1. A visualization of the basic event knowledge graph for eating [9]. insight into a fundamental event knowledge graph centered around the concept of "eating" [9].…”

Section: B Definition 21mentioning

confidence: 99%

A Comparative Study of ChatGPT-based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-based Induction

Tewabe,

Kovacs

2024

IJACSA

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Sentence parsing is a fundamental step in the conversion of a text document into semantic graphs. In this research, novel phrase parsing techniques for semantic graphbased induction are presented, namely the ChatGPT-based and Hybrid Parser-based approaches. The performance of these two approaches in the context of inducing semantic networks from textual data is assessed through a comprehensive analysis in this study. The primary purpose is to enhance the construction of semantic graphs, specifically focusing on capturing detailed event descriptions and relationships within text. The research finds that the Hybrid Parser-Based approach exhibits a slight advantage in accuracy (acc hybrid = 0.87) compared to ChatGPT (acc GPT = 0.85) in sentence parsing tasks. Furthermore, the efficiency analysis reveals that ChatGPT's response quality varies with different prompt sizes, while the Hybrid Parser-Based method consistently maintains an "excellent" response quality rating.

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“…1. A visualization of the basic event knowledge graph for eating [9]. insight into a fundamental event knowledge graph centered around the concept of "eating" [9].…”

Section: B Definition 21mentioning

confidence: 99%

A Comparative Study of ChatGPT-based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-based Induction

Tewabe,

Kovacs

2024

IJACSA

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“…As an illustration, Figure 2 provides a visual insight into a fundamental event knowledge graph centered around the concept of "eating." [9] Understanding natural language is a big challenge, and that's where semantic graphs come into play. Enhancing our grasp of natural language relies heavily on the development of semantic graphs, a field that's been increasingly in the spotlight.…”

Section: Literature Review a Basics Of Semantic Graphmentioning

confidence: 99%

“…These efforts aim to provide a more comprehensive understanding of semantic FIGURE 2. A visualization of the basic event knowledge graph for eating [9] parsing, event descriptions, and the complexities involved, as outlined in related works [25].…”

Section: Literature Review a Basics Of Semantic Graphmentioning

confidence: 99%

Exploring Sentence Parsing: OpenAI API-Based and Hybrid Parser-Based Approaches

Sewunetie,

Kovács

2024

IEEE Access

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Sentence parsing is a fundamental step in the conversion of a text document into semantic graphs. In this research, novel phrase parsing techniques for semantic graph-based induction are presented, namely the ChatGPT-based and Hybrid Parser-based approaches. The performance of these two approaches in the context of inducing semantic networks from textual data is assessed through a comprehensive analysis in this study. The primary purpose is to enhance the construction of semantic graphs, specifically focusing on capturing detailed event descriptions and relationships within text. The research finds that the Hybrid Parser-Based approach exhibits a slight advantage in accuracy (acc_hybrid = 0.87) compared to ChatGPT (acc_GPT = 0.85) in sentence parsing tasks. Furthermore, the efficiency analysis reveals that ChatGPT's response quality varies with different prompt sizes, while the Hybrid Parser-Based method consistently maintains an "excellent" response quality rating.

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“…Nonetheless, we can create extreme scenarios that are difficult to reproduce in the current real world. Combined with the optimization theory of operational research on uncertain and multi-objective conditions, we can deduce the effects of different intervention strategies to obtain the expected optimization effect [149,150] .…”

Section: ) Optimization Of the Intervention Strategymentioning

confidence: 99%

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

Xue

Zhou

et al. 2022

Int. J. Crowd Sci.

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With the mutual interaction and dependence of several intelligent services, a crowd intelligence service network has been formed, and a service ecosystem has gradually emerged. Such a development produces an ever-increasing effect on our lives and the functioning of the whole society. These facts call for research on these phenomena with a new theory or perspective, including what a smart society looks like, how it functions and evolves, and where its boundaries and challenges are. However, the research on service ecosystems is distributed in many disciplines and fields, including computer science, artificial intelligence, complex theory, social network, biological ecosystem, and network economics, and there is still no unified research framework. The researchers always have a restricted view of the research process. Under this context, this paper summarizes the research status and future developments of service ecosystems, including their conceptual origin, evolutionary logic, research topic and scale, challenges, and opportunities. We hope to provide a roadmap for the research in this field and promote sound development.

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Detecting Events of Daily Living Using Multimodal Data

Cited by 4 publications

References 0 publications

A Comparative Study of ChatGPT-based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-based Induction

A Comparative Study of ChatGPT-based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-based Induction

Exploring Sentence Parsing: OpenAI API-Based and Hybrid Parser-Based Approaches

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

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