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We propose an interpretable model to score the subjective bias present in documents, based only on their textual content. Our model is trained on pairs of revisions of the same Wikipedia article, where one version is more biased than the other. Although pr ...

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Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Bio-inspired Reflex System for Learning Visual Information for Resilient Robotic Manipulation

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Acción y experiencia en la arquitectura. Materia y corporalidad en la enseñanza de la era tecnológica.

Meteor: Meta-learning connecting earth problems observed from space

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Optimal recovery of unsecured debt via interpretable reinforcement learning

Democratizing Machine Learning

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Graph Chatbot

Chattez avec Graph Search

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

Democratizing Machine Learning

Acción y experiencia en la arquitectura. Materia y corporalidad en la enseñanza de la era tecnológica.

Meteor: Meta-learning connecting earth problems observed from space

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Optimal recovery of unsecured debt via interpretable reinforcement learning

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules