Machine Learning

Disruptive situation detection on public transport through speech emotion recognition
Detecting disruptive situations on public transport by recognizing anger, fear, sadness, and disgust in speech, with small models that stay accurate in noise.
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Disruptive situation detection on public transport through speech emotion recognition
CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
CLAUDETTE uses machine learning to detect potentially unfair clauses in online terms of service, and could serve lawyers and consumers alike.
Marco Lippi, Przemysław Pałka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni
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Argumentation Mining: State of the Art and Emerging Trends
Argumentation mining aims at automatically extracting structured arguments from unstructured textual documents. It has recently become …
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Argument Mining: A Machine Learning Perspective
Argument mining has recently become a hot topic, attracting the interests of several and diverse research communities, ranging from …
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