2 citations · 7 across the 7 of their papers we have counts for
6 papers
The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
Elisa Bassignana, Amanda Cercas Curry, Dirk Hovy
Socioeconomic status (SES) fundamentally influences how people interact with each other and more recently, with digital technologies like Large Language Models (LLMs). While previo…
Evidence > Intuition: Transferability Estimation for Encoder Selection
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang +1
With the increase in availability of large pre-trained language models (LMs) in Natural Language Processing (NLP), it becomes critical to assess their fit for a specific target tas…
CrossRE: A Cross-Domain Dataset for Relation Extraction
Elisa Bassignana, Barbara Plank
Relation Extraction (RE) has attracted increasing attention, but current RE evaluation is limited to in-domain evaluation setups. Little is known on how well a RE system fares in c…
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Elisa Bassignana, Barbara Plank
Over the last five years, research on Relation Extraction (RE) witnessed extensive progress with many new dataset releases. At the same time, setup clarity has decreased, contribut…
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality
Elisa Bassignana, Malvina Nissim, Viviana Patti
As a contribution to personality detection in languages other than English, we rely on distant supervision to create Personal-ITY, a novel corpus of YouTube comments in Italian, wh…
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
Elisa Bassignana, Malvina Nissim, Viviana Patti
We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different genre compared to previously available resources. The corpus…