Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Eric Jui-Lin Lu"'
Publikováno v:
IEEE Access, Vol 11, Pp 92209-92224 (2023)
DBpedia is one of the most resourceful link databases today, and users need to use query syntax (e.g., SPARQL) to access information in DBpedia databases. However, not all users know SPARQL, so a natural language query system can be used to translate
Externí odkaz:
https://doaj.org/article/0c4858f2f62a4c639462941cb8889a45
Publikováno v:
IEEE Access, Vol 10, Pp 99850-99860 (2022)
Much like traditional database querying, the question answering process in a Question Answering (QA) system involves converting a user’s question input into query grammar, querying the knowledge base through the query grammar, and finally returning
Externí odkaz:
https://doaj.org/article/cf66426cacbc4505925b919358a34346
Publikováno v:
IEEE Access, Vol 9, Pp 158638-158650 (2021)
Developing question answering (QA) systems that process natural language is a popular research topic. Conventionally, when QA systems receive a natural language question, they choose useful words or phrases based on their parts-of-speech (POS) tags.
Externí odkaz:
https://doaj.org/article/5054be509f7c442798becddf6ff82144
DBpedia is one of the most resourceful link databases today, and to access information in DBpedia databases, we need to use query syntax (e.g., SPARQL). However, not all users know SPARQL, so we must use a natural language query system to translate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ec5986ac33c73c17f10b330bd170ef9
https://doi.org/10.21203/rs.3.rs-2676239/v1
https://doi.org/10.21203/rs.3.rs-2676239/v1
Autor:
Jia-Huei Lin, Eric Jui-Lin Lu
Publikováno v:
Journal of Web Engineering.
SPARQL is a powerful query language which has been widely used in various natural language question answering (QA) systems. As the advances of deep neural networks, Neural Machine Translation (NMT) models are employed to directly translate natural la
Publikováno v:
IEEE Access, Vol 9, Pp 158638-158650 (2021)
Developing question answering (QA) systems that process natural language is a popular research topic. Conventionally, when QA systems receive a natural language question, they choose useful words or phrases based on their parts-of-speech (POS) tags.
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:631-647
Most clustering algorithms build disjoint clusters. However, clusters might be overlapped because documents may belong to two or more categories in the real world. For example, a paper discussing the Apple Watch may be categorized into either 3C, Fas
Autor:
Cheng-Yun Kuo, Eric Jui-Lin Lu
Publikováno v:
2021 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).
Question answering system over linked data (QALD) has been a very important research field in natural language processing (NLP). And the process of detecting useful words and assigning them with right entity types is crucial to the performance of QAL
Autor:
Jia-Huei Lin, Eric Jui-Lin Lu
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811641176
SPARQL is a powerful query language which has already been widely used in various natural language question answering (QA) systems. As the advances of deep neural networks, Neural Machine Translation (NMT) models are employed to directly translate na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62e297828dda6c2838a7e213edc66484
https://doi.org/10.1007/978-981-16-4118-3_1
https://doi.org/10.1007/978-981-16-4118-3_1
Publikováno v:
MDM
To mitigate the semantic gap between a visual feature and linguistic representation in social image retrieval, researchers have proposed an automatic image annotation approach, which employs multiple visual features and text matching to label images.