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doi: 10.15439/2020f24
We built a named entity recognition system on Esports News. We established an ontology for Esports-related entities, collected and annotated corpus from 80 articles on four different Esports titles. We also trained a CRF and a BERT-based entity recognizer, built a basic DOTA2 knowledge base, and an entity linker that links mentions of entities to articles in Liquipedia (the Esports Wikipedia), and a naive web app which serves as a demo of this entire proof-of-concept system. We achieved an over 61% overall entity-level F1-score on the test set for the NER task.
Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64
Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |