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SucupiraBot: An Interactive Question-Answering System for the Sucupira Platform

Authors:

Ivan Pereira,

Jéssica Sousa,

Polyana B. Costa,

Simone D. J. Barbosa,

Sérgio ColcherAuthors Info & Claims

WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

Pages 277 - 280

https://doi.org/10.1145/3428658.3431752

Published: 30 November 2020 Publication History

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Abstract

Conversational user interfaces have been an increasingly popular way to obtain quick information in natural language, especially with advances in the area of natural language processing (NLP) fueled by the surge of deep neural networks. Real-world cases include IBM Watson and Azure Microsoft chatbots, among others. Such examples, however, are most present in the commercial spectrum, with few being actively used by the scientific community. In this work, we develop an Interactive Question Answering System (IQA) for the Sucupira platform, Brazil's biggest open platform of postgraduate content, deployed as conversational interfaces for two popular messaging platforms: Telegram and Discord. We also propose the use of multilingual embeddings for ordering answers by a language-independent measuer of semantic similarity. Our IQA was evaluated with an study with 16 participants. The results were mostly positive, indicating that the use of conversational user interfaces, along with NLP techniques, may be a valid alternative for retrieving scientific information from the Sucupira plataform.

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Cited By

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Montenegro Jda Costa C(2022)The HoPE Model Architecture: a Novel Approach to Pregnancy Information Retrieval Based on Conversational AgentsJournal of Healthcare Informatics Research10.1007/s41666-022-00115-06:3(253-294)Online publication date: 6-Apr-2022
https://doi.org/10.1007/s41666-022-00115-0

Index Terms

SucupiraBot: An Interactive Question-Answering System for the Sucupira Platform
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Information systems
  1. Information retrieval
    1. Users and interactive retrieval

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WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

November 2020

364 pages

ISBN:9781450381963

DOI:10.1145/3428658

General Chair:
Carlos de Salles Soares Neto
UFMA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SBC: Brazilian Computer Society
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

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Published: 30 November 2020

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Conselho Nacional de Desenvolvimento Científico e Tecnológico

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WebMedia '20

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WebMedia '20: Brazillian Symposium on Multimedia and the Web

November 30 - December 4, 2020

São Luís, Brazil

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WebMedia '20 Paper Acceptance Rate 34 of 87 submissions, 39%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Montenegro Jda Costa C(2022)The HoPE Model Architecture: a Novel Approach to Pregnancy Information Retrieval Based on Conversational AgentsJournal of Healthcare Informatics Research10.1007/s41666-022-00115-06:3(253-294)Online publication date: 6-Apr-2022
https://doi.org/10.1007/s41666-022-00115-0

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