31 citations · 65 across the 11 of their papers we have counts for
12 papers
How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages
Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw Chudziak +1
Rhetorical strategies and their influence on audiences are often studied through social media posts and comments. However, this focus overlooks the universal audience, which is the…
Implicit Causal Graph Construction in Text via Chain Discovery
Liesbeth Allein, Marie-Francine Moens
Causal graphs in text are typically populated by observable, predefined events. In contrast, we study implicit causal graph construction from text by treating each described cause-…
ClimateCause: Complex and Implicit Causal Structures in Climate Reports
Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1
Understanding climate change requires reasoning over complex causal networks. Yet, existing causal discovery datasets predominantly capture explicit, direct causal relations. We in…
Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1
How does a cause lead to an effect, and which intermediate causal steps explain their connection? This work scrutinizes the mechanistic causal reasoning capabilities of large langu…
Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
Maria Mihaela Trusca, Liesbeth Allein
Interpretations of a single sentence can vary, particularly when its context is lost. This paper aims to simulate how readers perceive content with varying toxicity levels by gener…
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments
Liesbeth Allein, Maria Mihaela Truşcǎ, Marie-Francine Moens
The social and implicit nature of human communication ramifies readers' understandings of written sentences. Single gold-standard interpretations rarely exist, challenging conventi…
When Do Discourse Markers Affect Computational Sentence Understanding?
Ruiqi Li, Liesbeth Allein, Damien Sileo +1
The capabilities and use cases of automatic natural language processing (NLP) have grown significantly over the last few years. While much work has been devoted to understanding ho…
Implicit Temporal Reasoning for Evidence-Based Fact-Checking
Liesbeth Allein, Marlon Saelens, Ruben Cartuyvels +1
Leveraging contextual knowledge has become standard practice in automated claim verification, yet the impact of temporal reasoning has been largely overlooked. Our study demonstrat…
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection
Liesbeth Allein, Marie-Francine Moens, Domenico Perrotta
User-generated content (e.g., tweets and profile descriptions) and shared content between users (e.g., news articles) reflect a user's online identity. This paper investigates whet…
Time-Aware Evidence Ranking for Fact-Checking
Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens
Truth can vary over time. Fact-checking decisions on claim veracity should therefore take into account temporal information of both the claim and supporting or refuting evidence. I…
Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets
Liesbeth Allein, Marie-Francine Moens
Public, professional and academic interest in automated fact-checking has drastically increased over the past decade, with many aiming to automate one of the first steps in a fact-…
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
Liesbeth Allein, Artuur Leeuwenberg, Marie-Francine Moens
The correct use of Dutch pronouns 'die' and 'dat' is a stumbling block for both native and non-native speakers of Dutch due to the multiplicity of syntactic functions and the depen…