Information extraction pipelines for knowledge graphs
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10115-022-01826-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8279 |
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oai:localhost:PNK-82792023-04-25T06:43:24Z Information extraction pipelines for knowledge graphs Mohamad Yaser, Jaradeh Kuldeep, Singh Markus, Stocker KG PLUMBER CC BY In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG completion have not been studied in the literature. We extend PLUMBER, a framework that brings together the research community’s disjoint efforts on KG completion. We include more components into the architecture of PLUMBER to comprise 40 reusable components for various KG completion subtasks, such as coreference resolution, entity linking, and relation extraction. Using these components, PLUMBER dynamically generates suitable knowledge extraction pipelines and offers overall 432 distinct pipelines. We study the optimization problem of choosing optimal pipelines based on input sentences. 2023-04-25T06:43:24Z 2023-04-25T06:43:24Z 2023 Book https://link.springer.com/article/10.1007/s10115-022-01826-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8279 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
KG PLUMBER |
| spellingShingle |
KG PLUMBER Mohamad Yaser, Jaradeh Kuldeep, Singh Markus, Stocker Information extraction pipelines for knowledge graphs |
| description |
CC BY |
| format |
Book |
| author |
Mohamad Yaser, Jaradeh Kuldeep, Singh Markus, Stocker |
| author_facet |
Mohamad Yaser, Jaradeh Kuldeep, Singh Markus, Stocker |
| author_sort |
Mohamad Yaser, Jaradeh |
| title |
Information extraction pipelines for knowledge graphs |
| title_short |
Information extraction pipelines for knowledge graphs |
| title_full |
Information extraction pipelines for knowledge graphs |
| title_fullStr |
Information extraction pipelines for knowledge graphs |
| title_full_unstemmed |
Information extraction pipelines for knowledge graphs |
| title_sort |
information extraction pipelines for knowledge graphs |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10115-022-01826-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8279 |
| _version_ |
1764177437478879232 |
| score |
8.891145 |