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MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
In this paper, we describe the system proposed by the MilaNLP team for the Multimedia Automatic Misogyny Identification (MAMI) …
Giuseppe Attanasio, Debora Nozza, Federico Bianchi
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MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection
Transformer-based Natural Language Processing models have become the standard for hate speech detection. However, the unconscious use …
Giuseppe Attanasio, Debora Nozza, Eliana Pastor, Dirk Hovy
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Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
Natural Language Processing (NLP) models risk overfitting to specific terms in the training data, thereby reducing their performance, …
Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis
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Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
E-MIMIC: Empowering Multilingual Inclusive Communication
Preserving diversity and inclusion is becoming a compelling need in both industry and academia. The ability to use appropriate forms …
G. Attanasio, S. Greco, M. La Quatra, L. Cagliero, M. Tonti, T. Cerquitelli, R. Raus
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Contrastive Language-Image Pre-training for the Italian Language
CLIP (Contrastive Language-Image Pre-training) is a very recent multi-modal model that jointly learns representations of images and …
Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi
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PoliTeam @ AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identificationin Italian Tweets
We present a multi-agent classification solution for identifying misogynous and aggressive content in Italian tweets. A first agent uses …
Giuseppe Attanasio, Eliana Pastor
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Leveraging the explainability of associative classifiers to support quantitative stock trading
Forecasting the stock market is particularly challenging due to the presence of a variety of inter-related economic and political …
Giuseppe Attanasio, Luca Cagliero, Elena Baralis
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DSLE: A Smart Platform for Designing Data Science Competitions
During the last years an increasing number of university-level and post-graduation courses on Data Science have been offered. Practices …
G. Attanasio, F. Giobergia, A. Pasini, F. Ventura, E. Baralis, L. Cagliero, P. Garza, D. Apiletti, T. Cerquitelli, S. Chiusano
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Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal
The use of machine learning techniques to predict the next-day stock direction is established. To make prediction models more robust, a …
G. Attanasio, L. Cagliero, P. Garza, E. Baralis
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Quantitative cryptocurrency trading: exploring the use of machine learning techniques
Machine learning techniques have found application in the study and development of quantitative trading systems. These systems usually …
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
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