Enhancing Knowledge Bases with Quantity Facts

Author:

Ho Vinh Thinh1,Stepanova Daria2,Milchevski Dragan2,Strötgen Jannik2,Weikum Gerhard1

Affiliation:

1. Max Planck Institute for Informatics, Germany

2. Bosch Center for Artificial Intelligence, Germany

Publisher

ACM

Reference47 articles.

1. Snowball

2. Omar Alonso and Thibault Sellam . 2018 . Quantitative Information Extraction From Social Data. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018 , Ann Arbor, MI, USA , July 08-12, 2018. Omar Alonso and Thibault Sellam. 2018. Quantitative Information Extraction From Social Data. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018.

3. An Empirical Investigation of Contextualized Number Prediction

4. Z. I. Botev J. F. Grotowski and D. P. Kroese. 2010. Kernel density estimation via diffusion. The Annals of Statistics(2010). Z. I. Botev J. F. Grotowski and D. P. Kroese. 2010. Kernel density estimation via diffusion. The Annals of Statistics(2010).

5. Sergey Brin . 1998 . Extracting Patterns and Relations from the World Wide Web. In The World Wide Web and Databases , International Workshop WebDB’98 , Valencia, Spain , March 27-28, 1998, Selected Papers(Lecture Notes in Computer Science). Sergey Brin. 1998. Extracting Patterns and Relations from the World Wide Web. In The World Wide Web and Databases, International Workshop WebDB’98, Valencia, Spain, March 27-28, 1998, Selected Papers(Lecture Notes in Computer Science).

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1. Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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