- 年份:2022 年
- 編號:274
- Topic分類:4
- Topic分數:1
- Publish:2022 ACM/IEEE Joint Conference on Digital Libraries (JCDL)
- 作者:Allard Oelen; Markus Stocker; Sören Auer
Keywords:Crowdsourcing Microtasks, Knowledge Graph Validation, Scholarly Knowledge Graphs, Intelligent User Interfaces
Abstract:TinyGeniusIntertwining Natural Language Processing with Microtask Crowdsourcing for Scholarly Knowledge Graph Creation As the number of published scholarly articles grows steadily each yearnew methods are needed to organize scholarly knowledge so that it can be more efficiently discovered and usedNatural Language ProcessingNLPtechniques are able to autonomously pr Retrieval and IndexingBecause the entire article aims to use AI to extract academic knowledge and ultimately form a knowledge graph of a digital librarywhich helps in the retrieval and indexing of academic papersThis article focuses on using natural language processingNLPtechnology to process academic articlesextract knowledge from themand generate machine-readable content representationsBecause direct NLP methods are not accurate enougha method called TinyGenius is introducedThis method uses crowdsourced micro-tasks to validate the academic knowledge statements extracted by NLP
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