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pro vyhledávání: '"Hanning Gao"'
Autor:
Hanning Gao, Zhihua Wei
Publikováno v:
2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE).
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031001253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ce0edf44339d4f09819ccb2a2b02b3
https://doi.org/10.1007/978-3-031-00126-0_10
https://doi.org/10.1007/978-3-031-00126-0_10
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expresse
Publikováno v:
IJCAI
The task of RDF-to-text generation is to generate a corresponding descriptive text given a set of RDF triples. Most of the previous approaches either cast this task as a sequence-to-sequence problem or employ graph-based encoder for modeling RDF trip
Publikováno v:
2018 IEEE International Conference on Progress in Informatics and Computing (PIC).
Building human-computer interaction engines is a fundamental challenge in Artificial Intelligence, with the goal of building a system which can automatically talk to human in natural language. Therefore, the ability to ask thought-provoking questions