OKG: A Knowledge Graph for Fine-grained Understanding of Social Media Discourse on Inequality-Reference-Cited by-同舟云学术

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OKG: A Knowledge Graph for Fine-grained Understanding of Social Media Discourse on Inequality

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th Knowledge Capture Conference 2023
language:
Short-container-title:

Author:

Blin Inès¹^ORCID,Stork Lise²^ORCID,Spillner Laura³^ORCID,Santagiustina Carlo⁴^ORCID

Affiliation:

1. Vrije Universiteit Amsterdam, Netherlands and Sony Computer Science Laboratories-Paris, France

2. Vrije Universiteit Amsterdam, Netherlands

3. University of Bremen, Germany

4. Venice International University, Italy and Ca'Foscari University of Venice, Italy

Funder

European Union (Horizon 2020)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3587259.3627557

Reference40 articles.

1. Semantic role labeling for knowledge graph extraction from text

2. Mehwish Alam, Manuel Kaschura, and Harald Sack. 2020. Apollo: Twitter Stream Analyzer of Trending Hashtags: A case-study of# COVID-19.. In ISWC (Demos/Industry). 64–69.

3. academictwitteR: an R package to access the Twitter Academic Research Product Track v2 API endpoint

4. A computational construction grammar approach to semantic frame extraction

5. SIOC: an approach to connect web-based communities

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