Event Detection in Social Media via Graph Neural Network

Gao, Wang and Fang, Yuan and Li, Lin and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X (2021) Event Detection in Social Media via Graph Neural Network. In: 22nd International Conference on Web Information Systems Engineering, Part I (WISE 2021), 26 Oct - 29 Oct 2021, Melbourne, Australia.


Abstract

Recently, Graph Neural Networks (GNN) have been applied to many natural language processing tasks. However, few studies exploit GNN for event detection, especially event detection in social media. In this paper, we proposed a new Event Detection model based on GNN (EDGNN). EDGNN first utilizes a topic model to capture the topical information of the corpus, which is used to help the graph enrich the semantics of short texts. Then, a text-level graph with fewer edges and memory consumption is constructed for each input short text. Furthermore, we incorporate word embeddings trained by Bidirectional Encoder Representations from Transformers (BERT) into EDGNN, which greatly improves the performance of the proposed method. Experimental results on a real-world foodborne disease event dataset demonstrate our model outperforms state-of-the-art baselines.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021)
Date Deposited: 11 May 2022 23:17
Last Modified: 30 May 2022 03:45
Uncontrolled Keywords: Event detection; Graph neural network; Topic model; BERT
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460208 Natural language processing
46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence
Identification Number or DOI: https://doi.org/10.1007/978-3-030-90888-1_28
URI: http://eprints.usq.edu.au/id/eprint/46208

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