Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

Abstract

The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to proper matches in Knowledge Graphs (KGs). Considering Wikidata as the background KG, still, there are limited tools to link knowledge within the text to Wikidata. In this paper, we present Falcon 2.0, first joint entity, and relation linking tool over Wikidata. It receives a short natural language text in the English language and outputs a ranked list of entities and relations annotated with the proper candidates in Wikidata. The candidates are represented by their Internationalized Resource Identifier (IRI) in Wikidata. Falcon 2.0 resorts to the English language model for the recognition task (e.g., N-Gram tiling and N-Gram splitting), and then an optimization approach for linking task. We have empirically studied the performance of Falcon 2.0 on Wikidata and concluded that it outperforms all the existing baselines. Falcon 2.0 is public and can be reused by the community; all the required instructions of Falcon 2.0 are well-documented at our GitHub repository. We also demonstrate an online API, which can be run without any technical expertise. Falcon 2.0 and its background knowledge bases are available as resources at https://labs.tib.eu/falcon/falcon2/.

arXiv commentCIKM 2020 Paper 8 pages

References in corpus (6)

• Neural Collective Entity Linking
• DeepType: Multilingual Entity Linking by Neural Type System Evolution
• Document Filtering for Long-tail Entities
• OpenTapioca: Lightweight Entity Linking for Wikidata
• Named Entity Disambiguation using Deep Learning on Graphs
• Learning Dynamic Context Augmentation for Global Entity Linking

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• EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
• ExtracTable: Human-in-the-Loop Transformation of Scientific Corpora into Structured Knowledge
• Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering
• The benefits of query-based KGQA systems for complex and temporal questions in LLM era
• HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
• Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking