activity
20192026
most citedSemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

23 citations · 27 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.CL2026

LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs

Paolo Gajo, Domenic Rosati, Hassan Sajjad +1

Relation extraction represents a fundamental component in the process of creating knowledge graphs, among other applications. Large language models (LLMs) have been adopted as a pr…

cs.CL2025

Dependency Parsing is More Parameter-Efficient with Normalization

Paolo Gajo, Domenic Rosati, Hassan Sajjad +1

Dependency parsing is the task of inferring natural language structure, often approached by modeling word interactions via attention through biaffine scoring. This mechanism works…

cs.CL2024

Hate Speech According to the Law: An Analysis for Effective Detection

Katerina Korre, John Pavlopoulos, Paolo Gajo +1

The issue of hate speech extends beyond the confines of the online realm. It is a problem with real-life repercussions, prompting most nations to formulate legal frameworks that cl…

cs.CL2024

Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains

Katerina Korre, Arianna Muti, Federico Ruggeri +1

Hate speech relies heavily on cultural influences, leading to varying individual interpretations. For that reason, we propose a Semantic Componential Analysis (SCA) framework for a…

cs.CL2024

Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts

Arianna Muti, Federico Ruggeri, Khalid Al-Khatib +2

We propose misogyny detection as an Argumentative Reasoning task and we investigate the capacity of large language models (LLMs) to understand the implicit reasoning used to convey…

cs.CL20244 cited

QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities

Mae Sosto, Alberto Barrón-Cedeño

With the increasing role of Natural Language Processing (NLP) in various applications, challenges concerning bias and stereotype perpetuation are accentuated, which often leads to…