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Related Experiment Video

Updated: Jun 16, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Gold standard, multi-genre dataset for named entity recognition and linking.

Szymon Olewniczak¹, Julian Szymański²

¹Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, 80-233, Poland. szyolewn@pg.edu.pl.

Scientific Data

|June 13, 2025

Summary

This summary is machine-generated.

We developed a new, diverse dataset for evaluating entity-linking (EL) systems. This resource aids in testing EL performance across various text domains, improving system reliability.

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Area of Science:

Natural Language Processing
Information Retrieval
Artificial Intelligence

Background:

Entity Linking (EL) systems identify text mentions and link them to Knowledge Base (KB) entries.
Evaluating EL systems requires high-quality, domain-diverse datasets, which are currently limited.
Existing datasets often focus on single domains, hindering comprehensive system assessment.

Purpose of the Study:

To introduce a novel, multi-domain dataset for the robust evaluation of entity-linking systems.
To provide a reliable resource for benchmarking EL performance across varied text sources.
To facilitate advancements in the accuracy and generalizability of entity-linking technologies.

Main Methods:

Curated a dataset comprising texts from multiple domains.
Annotated text segments (mentions) with corresponding entity types.
Utilized Wikipedia as the external Knowledge Base for linking.

Main Results:

The dataset offers broad domain coverage, unlike many single-domain alternatives.
Annotations include entity types, increasing data utility and reliability.
The dataset is available for download, supporting research in entity linking.

Conclusions:

The new dataset addresses the need for diverse, annotated data in entity linking research.
It enables more comprehensive evaluation of EL systems' performance.
This resource is expected to drive progress in the field of natural language understanding.