| Presentation | 2020-05-29 Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks Zeng Kungan, Incheon Paik, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Service composition can provide value-added services. Such a composition is a kind of abstract sequence, but it works with a definite meaning. Understanding these composition sequences well can help us with not only service discovery but also automatic service composition. Recently, multiple neural language networks demonstrate excellent performance in natural language learning, such as recurrent neural networks (RNN), Bidirectional RNN, bidirectional encoder representations of transformers (BERT). In this research, we investigate how the deep neural network architectures learn service invocation sequences well and extract information for service discovery. Several RNN architectures and BERT are examined. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | service compositionservice discoveryneural networklanguage modelinvocation sequence |
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| Date of Issue |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2020/5/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online/Univ of Aizu |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AI Application for Service Computing Environment and Other Issues |
| Chair | Masahide Nakamura(Kobe Univ.) |
| Vice Chair | Shinji Kikuchi(NIMS) / Yoji Yamato(NTT) |
| Secretary | Shinji Kikuchi(Tokyo Univ. of Tech.) / Yoji Yamato(Fujitsu Lab.) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks |
| Sub Title (in English) | |
| Keyword(1) | service compositionservice discoveryneural networklanguage modelinvocation sequence |
| 1st Author's Name | Zeng Kungan |
| 1st Author's Affiliation | School of Computer Science and Engineering, The University of Aizu(UoA) |
| 2nd Author's Name | Incheon Paik |
| 2nd Author's Affiliation | School of Computer Science and Engineering,The University of Aizu(UoA) |
| Date | 2020-05-29 |
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| Volume (vol) | vol.120 |
| Number (no) | SC-49 |
| Page | pp.pp.-(), |
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| Date of Issue | |