LinkSUM: Using Link Analysis to Summarize Entity Data-Reference-Cited by-同舟云学术

LinkSUM: Using Link Analysis to Summarize Entity Data

Published:2016 Issue: Volume: Page:244-261
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Thalhammer Andreas,Lasierra Nelia,Rettinger Achim

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-38791-8_14

Reference20 articles.

1. Lecture Notes in Computer Science;R Blanco,2013

2. Bobić, T., Waitelonis, J., Sack, H.: FRanCo - a ground truth corpus for fact ranking evaluation. In: Joint Proceedings of SumPre and HSWI 2015, Co-located with the 12th Extended Semantic Web Conference, vol. 1556. CEUR-WS (2016)

3. Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: Proceedings of the 7th International Conference on World Wide Web 7. Elsevier (1998)

4. Lecture Notes in Computer Science;G Cheng,2011

5. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1–30 (2006)

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ESLM: Improving Entity Summarization by Leveraging Language Models;Lecture Notes in Computer Science;2024

2. Hybrid Scalable Researcher Recommendation System Using Azure Data Lake Analytics;Journal of Data Analysis and Information Processing;2024

3. RDF Graph Summarization Based on Node Characteristic and Centrality;Journal of Web Engineering;2022-12-06

4. ESDL: Entity Summarization with Deep Learning;Proceedings of the 10th International Joint Conference on Knowledge Graphs;2021-12-06

5. GATES;Proceedings of the 11th on Knowledge Capture Conference;2021-12-02