a user-friendly toolkit for the Wiki-Entity-Summarization (WikES) project.

This repository hosts a comprehensive suite for graph-based entity summarization dataset generating from user-selected Wikipedia pages. Utilizing a series of interconnected modules, it leverages Wikidata and Wikipedia dumps to construct a dataset, alongside auto-generated ground truths.

ESBM: An Entity Summarization Benchmark (ESWC 2020)

Entity Summarization with User Feedback (ESWC 2020)

DeepLENS: Deep Learning for Entity Summarization (DL4KG 2020)

Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.

实体摘要系统的解释性评测 (大数据, 2021)

Lightweight JavaScript client for SUMMA API summaries

Service providing a summarisation service for entities in RDF graphs

Lightweight Java Jersey Servlet for serving SUMMA API summaries

ESLM: An approach to improve the performance of entity summarization by leveraging language models and enrichment language model using knowledge graph embedding

This repository contains the source code of the ELES demo - winner of the Best Demo Award at ICWE 2016.

ESBM (short for Entity Summarization BenchMark) is a benchmark for evaluating algorithms for entity summarization, aka entity summarizers. This is an old repository for the ESBM benchmark, for more updated information, see