@inproceedings{26995c2ee5ce43998814f2ddecb9785d,
title = "ContextWalk: Embedding Networks with Context Information Extracted from News Articles",
abstract = "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{\textquoteright}s ability to detect fine-grained semantic groups.",
keywords = "Context information, News, Representation learning, Social networks",
author = "Chaoran Chen and Mirco Sch{\"o}nfeld and J{\"u}rgen Pfeffer",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 32nd International Conference on Database and Expert Systems Applications, DEXA 2021 ; Conference date: 27-09-2021 Through 30-09-2021",
year = "2021",
doi = "10.1007/978-3-030-86475-0_11",
language = "English",
isbn = "9783030864743",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "100--114",
editor = "Christine Strauss and Gabriele Kotsis and Tjoa, {A Min} and Ismail Khalil",
booktitle = "Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Proceedings",
}