Search Results for author: Fabio Casati

Found 10 papers, 0 papers with code

On the Value of ML Models

no code implementations13 Dec 2021 Fabio Casati, Pierre-André Noël, Jie Yang

We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics that better capture the value delivered by their model in practical applications.

The Science of Rejection: A Research Area for Human Computation

no code implementations11 Nov 2021 Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.

Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention

no code implementations29 Sep 2021 Yacine GACI, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem

Recent studies in fair Representation Learning have observed a strong inclination for natural language processing (NLP) models to exhibit discriminatory stereotypes across gender, religion, race and many such social constructs.

Fairness Word Embeddings

Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots

no code implementations20 Sep 2021 Jorge Ramírez, Auday Berro, Marcos Baez, Boualem Benatallah, Fabio Casati

A prominent approach to build datasets for training task-oriented bots is crowd-based paraphrasing.

Active Hybrid Classification

no code implementations21 Jan 2021 Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon

Hybrid crowd-machine classifiers can achieve superior performance by combining the cost-effectiveness of automatic classification with the accuracy of human judgment.

Active Learning Classification +1

Chatbots as conversational healthcare services

no code implementations8 Nov 2020 Mlađan Jovanović, Marcos Baez, Fabio Casati

Chatbots are emerging as a promising platform for accessing and delivering healthcare services.

Decision Making

Siamese Graph Neural Networks for Data Integration

no code implementations17 Jan 2020 Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati

In this work, we propose a general approach to modeling and integrating entities from structured data, such as relational databases, as well as unstructured sources, such as free text from news articles.

Combining Crowd and Machines for Multi-predicate Item Screening

no code implementations1 Apr 2019 Evgeny Krivosheev, Fabio Casati, Marcos Baez, Boualem Benatallah

This paper discusses how crowd and machine classifiers can be efficiently combined to screen items that satisfy a set of predicates.

Classification General Classification

Crowdsourcing for Reminiscence Chatbot Design

no code implementations31 May 2018 Svetlana Nikitina, Florian Daniel, Marcos Baez, Fabio Casati

In this work-in-progress paper we discuss the challenges in identifying effective and scalable crowd-based strategies for designing content, conversation logic, and meaningful metrics for a reminiscence chatbot targeted at older adults.


Crowd-Machine Collaboration for Item Screening

no code implementations21 Mar 2018 Evgeny Krivosheev, Bahareh Harandizadeh, Fabio Casati, Boualem Benatallah

In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates.

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