Search Results for author: Marcos Baez

Found 8 papers, 2 papers with code

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.

On how Cognitive Computing will plan your next Systematic Review

1 code implementation15 Dec 2020 Maisie Badami, Marcos Baez, Shayan Zamanirad, Wei Kang

Systematic literature reviews (SLRs) are at the heart of evidence-based research, setting the foundation for future research and practice.

Bringing Cognitive Augmentation to Web Browsing Accessibility

1 code implementation7 Dec 2020 Alessandro Pina, Marcos Baez, Florian Daniel

In this paper we explore the opportunities brought by cognitive augmentation to provide a more natural and accessible web browsing experience.

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

Automatic Generation of Chatbots for Conversational Web Browsing

no code implementations19 Aug 2020 Pietro Chittò, Marcos Baez, Florian Daniel, Boualem Benatallah

In this paper, we describe the foundations for generating a chatbot out of a website equipped with simple, bot-specific HTML annotations.

Chatbot

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.

Chatbot

Smart Conversational Agents for Reminiscence

no code implementations18 Apr 2018 Svetlana Nikitina, Sara Callaioli, Marcos Baez

In this paper we describe the requirements and early system design for a smart conversational agent that can assist older adults in the reminiscence process.

Human-Computer Interaction Computers and Society

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