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ContextWalk : Embedding Networks With Context Information Extracted From News Articles

Title data

Chen, Chaoran ; Schönfeld, Mirco ; Pfeffer, Jürgen:
ContextWalk : Embedding Networks With Context Information Extracted From News Articles.
In: Strauss, Christine ; Kotsis, Gabriele ; Tjoa, A. Min ; Khalil, Ismail (ed.): Database and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings. Part II. - Cham, Schweiz : Springer International Publishing , 2021 . - pp. 100-114 . - (Lecture Notes in Computer Science ; 12924 ) (Information Systems and Applications, incl. Internet/Web, and HCI ; 12924)
ISBN 978-3-030-86475-0
DOI: https://doi.org/10.1007/978-3-030-86475-0_11

Abstract in another language

Extracting meaningful social networks from a large corpus of news articles is challenging. This paper presents a network embedding technique which uses the content of texts as context information for relationships among persons referenced in texts. The goal of our approach is to automatically extract social networks from news articles and to identify structures in these networks. ContextWalk is an algorithmic approach extending random walk-based techniques by adapting a context-aware path sampling. We demonstrate the functionality and performance of the algorithm on an 8,000 nodes network extracted from a large German news dataset. Comparison with state-of-the-art algorithms shows that using the context to identify similar types of relationships significantly improves the algorithm's ability to detect fine-grained semantic groups.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Social networks; Representation learning; Context information; News
Institutions of the University: Faculties > Faculty of Languages and Literature
Faculties > Faculty of Languages and Literature > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung
Faculties > Faculty of Languages and Literature > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung - Juniorprof. Dr. Mirco Schönfeld
Faculties
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 02 Sep 2021 07:41
Last Modified: 02 Sep 2021 07:41
URI: https://eref.uni-bayreuth.de/id/eprint/66900