most citedDistant supervision for emotion detection using Facebook reactions

13 citations · 20 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL2024

Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses

Gabriele Sarti, Tommaso Caselli, Malvina Nissim +1

Rebuses are puzzles requiring constrained multi-step reasoning to identify a hidden phrase from a set of images and letters. In this work, we introduce a large collection of verbal…

cs.LG20241 cited

Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)

Elizaveta Sivak, Paulina Pankowska, Adrienne Mendrik +8

The social sciences have produced an impressive body of research on determinants of fertility outcomes, or whether and when people have children. However, the strength of these det…

cs.CL2023

Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence

Daniel Scalena, Gabriele Sarti, Malvina Nissim +1

Due to language models' propensity to generate toxic or hateful responses, several techniques were developed to align model generations with users' preferences. Despite the effecti…

cs.CL20231 cited

Responsibility Perspective Transfer for Italian Femicide News

Gosse Minnema, Huiyuan Lai, Benedetta Muscato +1

Different ways of linguistically expressing the same real-world event can lead to different perceptions of what happened. Previous work has shown that different descriptions of gen…

cs.CL2023

Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation

Chunliu Wang, Huiyuan Lai, Malvina Nissim +1

Pre-trained language models (PLMs) have achieved great success in NLP and have recently been used for tasks in computational semantics. However, these tasks do not fully benefit fr…

cs.CL2023

Multilingual Multi-Figurative Language Detection

Huiyuan Lai, Antonio Toral, Malvina Nissim

Figures of speech help people express abstract concepts and evoke stronger emotions than literal expressions, thereby making texts more creative and engaging. Due to its pervasive…