activity
20142026
most citedAnalysis of Named Entity Recognition and Linking for Tweets

347 citations · 367 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models

Cristian Santini, Marieke Van Erp, Mehwish Alam

Despite the recent advancements in NLP with the advent of Large Language Models (LLMs), Entity Linking (EL) for historical texts remains challenging due to linguistic variation, no…

cs.CL2025★ 1 cited

Knowledge Graphs Generation from Cultural Heritage Texts: Combining LLMs and Ontological Engineering for Scholarly Debates

Andrea Schimmenti, Valentina Pasqual, Fabio Vitali +1

Cultural Heritage texts contain rich knowledge that is difficult to query systematically due to the challenges of converting unstructured discourse into structured Knowledge Graphs…

cs.CL2025

Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts

Alessandra Stramiglio, Andrea Schimmenti, Valentina Pasqual +3

Text Implicitness has always been challenging in Natural Language Processing (NLP), with traditional methods relying on explicit statements to identify entities and their relations…

cs.DL2024★ 1 cited

Structuring Authenticity Assessments on Historical Documents using LLMs

Andrea Schimmenti, Valentina Pasqual, Francesca Tomasi +2

Given the wide use of forgery throughout history, scholars have and are continuously engaged in assessing the authenticity of historical documents. However, online catalogues merel…

cs.DL2021★ 3 cited

The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph

Stijn Schouten, Victor de Boer, Lodewijk Petram +1

Digital sources are more prevalent than ever but effectively using them can be challenging. One core challenge is that digitized sources are often distributed, thus forcing researc…

cs.AI2021★ 6 cited

Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb

Bruno Sartini, Marieke van Erp, Aldo Gangemi

In this work, we fill the gap in the Semantic Web in the context of Cultural Symbolism. Building upon earlier work in, we introduce the Simulation Ontology, an ontology that models…