Gabriella Lapesa
32 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(24)
Natural Language Processing
(21)
Applications Β· Natural Language Processing
(18)
Core Methods
(17)
Artificial Intelligence
(16)
Core AI
(15)
Learning Types
(11)
Application Areas
(9)
Interdisciplinary
(6)
Understanding
(5)
Computer Science
(3)
Applications Β· Computer Science
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Social
(3)
Keywords
text classification
(14)
argument quality
(8)
large language model
(6)
argument mining
(6)
natural language processing
(4)
sentiment analysis
(3)
computational argumentation
(3)
transfer learning
(3)
prompt engineering
(3)
discourse analysis
(2)
online discussion
(2)
regression analysis
(2)
content moderation
(2)
emotion analysis
(2)
few-shot learning
(2)
zero-shot learning
(2)
named entity recognition
(2)
social media analysis
(2)
cross-domain classification
(2)
deliberative quality
(2)
Papers
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech
EACL 2026
AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts
EMNLP 2025
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
ACL 2025
Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging
ACL 2025
It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation
NAACL 2025
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values
ACL 2025
PerspectiveMod: A Perspectivist Resource for Deliberative Moderation
EMNLP 2025
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
NAACL 2025
Towards a Perspectivist Turn in Argument Quality Assessment
NAACL 2025
Argument Quality Assessment in the Age of Instruction-Following Large Language Models
COLING 2024
GESIS-DSM at PerpectiveArg2024: A Matter of Style? Socio-Cultural Differences in Argumentation
ACL 2024
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
COLING 2024
Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions
EACL 2024
Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum
COLING 2024
Stories and Personal Experiences in the COVID-19 Discourse
COLING 2024
Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
EMNLP 2024
Bridging Argument Quality and Deliberative Quality Annotations with Adapters
EACL 2023
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
EACL 2023
Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios
ACL 2023
StoryARG: a corpus of narratives and personal experiences in argumentative texts
ACL 2023
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer
NAACL 2022
Improving Neural Political Statement Classification with Class Hierarchical Information
ACL 2022
Reports of personal experiences and stories in argumentation: datasets and analysis
ACL 2022
FAST: A carefully sampled and cognitively motivated dataset for distributional semantic evaluation
CoNLL 2021
Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key?
EMNLP 2021
Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch
EACL 2021
Towards Argument Mining for Social Good: A Survey
ACL 2021
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
ACL 2021
Swimming with the Tide? Positional Claim Detection across Political Text Types
EMNLP 2020
An Environment for Relational Annotation of Political Debates
ACL 2019
Large-scale evaluation of dependency-based DSMs: Are they worth the effort?
EACL 2017
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
SemEval 2015