Alberto Barrón-Cedeño

About Me

THIS WEBSITE IS UNDER CONSTRUCTION (LAST MODIFICATION: 29/01/26)

I am Associate Professor at Università di Bologna since 2022 (after three years as Senior assistant professor; RTDb, in the Italian system). I have been working on the (cross-language) assessment of text looking at different aspects such as originality (e.g., plagiarism detection) and intent (e.g., propaganda, hate speech).

Visit my UniBO website for university matters.

Before landing at UniBO, I spent 5 years as a Scientist at the Language Technologies group of QCRI and 2 as research fellow at TALP.

📢 1st Digital Agreement for families and technology in Forlì
📢 1st Digital Agreement for families and technology in Forlì

Overview On the evening of the 29th of April, the efforts of over 40 parents from the city of Forlì, concerned with a healthy use of technology by young people (from social media to smart devices), culminated with the signature of the first Patto Digitale of the city of Forlì (Italy).

Apr 29, 2026

📈 New paper published at NeurIPS 2025 Main Conference Track
📈 New paper published at NeurIPS 2025 Main Conference Track

Overview Dependency parsing is the task of inferring natural language structure, often approached by modeling word interactions via attention through biaffine scoring. This mechanism works like self-attention in Transformers, where scores are calculated for every pair of words in a sentence.

Dec 2, 2025

📈 New paper published at IPM (if. 7.4)
📈 New paper published at IPM (if. 7.4)

Overview Research on knowledge graph construction (KGC) has recently shown great promise also thanks to the adoption of large language models (LLM) for the automatic extraction of structured information from raw text.

Jun 4, 2025

📈 New paper published at LRE (if. 1.7)
📈 New paper published at LRE (if. 1.7)

Overview This study examines whether the psycholinguistic and demographic characteristics of authors of online texts are correlated with the way harmful language, such as toxicity and hate speech, is judged. We apply artificial intelligence models to two harmful language datasets, Jigsaw’s Special Rater Pool dataset and the Measuring Hate Speech dataset, to generate probabilities for different text aspects, namely inferring demographic information of the author behind the suspicious text in terms of age and gender, as well as the expressed emotions, emotionality, sentiment and communication style.

May 24, 2025

📈 New paper published at ESWA (if. 7.5)
📈 New paper published at ESWA (if. 7.5)

Overview Electronic mail (email) is one of the most popular communication media for direct and private communication. Being typically a free service and anonymity-friendly, massive spam email campaigns are common. Nowadays, spam email encompasses scam, phishing, malware distribution, and various other cybersecurity threats.

Dec 15, 2024

🎉 EMNLP 2024 paper on Misogynistic Reasoning with Argumentation Theory-Driven Prompts
🎉 EMNLP 2024 paper on Misogynistic Reasoning with Argumentation Theory-Driven Prompts

This paper was led by Arianna Muti as part of her PhD.

Nov 24, 2024

An example preprint / working paper
An example preprint / working paper

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.

Apr 7, 2019

An example journal article
An example journal article

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.

Sep 1, 2015

An example conference paper
An example conference paper

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.

Jul 1, 2013