Extracting Blockchain Concepts from Text
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Abstract (arXiv)
Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about blockchain also grows. Being a technical subject, it can be quite intimidating to start learning. For this reason, the main objective of this project was to apply machine learning models to extract information from whitepapers and academic articles focused on the blockchain area to organize this information and aid users to navigate the space.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 7 May 2023.
Builds on
6 of 17 references.
References · 6
- 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
- 2018Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Constructioncited by 322
- 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 262
- 2019A General Framework for Information Extraction using Dynamic Span Graphscited by 93
- 2020Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domaincited by 10
- 2018On the Origins and Variations of Blockchain Technologiescited by 2
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