Cookies
O website necessita de alguns cookies e outros recursos semelhantes para funcionar. Caso o permita, o INESC TEC irá utilizar cookies para recolher dados sobre as suas visitas, contribuindo, assim, para estatísticas agregadas que permitem melhorar o nosso serviço. Ver mais
Aceitar Rejeitar
  • Menu
Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Luís Pimentel Trigo
  • Cargo

    Investigador Colaborador Externo
  • Desde

    18 abril 2013
Publicações

2024

LEARNING PHONOLOGY WITH DATA IN THE CLASSROOM: ENGAGING STUDENTS IN THE CREOLISTIC RESEARCH PROCESS

Autores
Trigo, L; Silva, C; de Almeida, VM;

Publicação
INTERNATIONAL JOURNAL OF HUMANITIES AND ARTS COMPUTING-A JOURNAL OF DIGITAL HUMANITIES

Abstract
Phonology is a linguistic discipline that is naturally computational. However, as many researchers are not familiar with the use of digital methods, most of the computation required is still performed by humans. This article presents a training experiment of master's students of the phonology seminar at the University of Porto, bringing the research process directly to the classroom. The experiment was designed to raise students' awareness of the potentialities of combining human and machine computation in phonology. The Centre for Digital Culture and Innovation (CODA) readily embraced this project to showcase the application of digital humanities as humanities in both research and training activities. During this experiment, students were trained to collect and process phonological data using various open-source and free web-based resources. By combining a strict protocol with some individual research freedom, the students were able to make valuable contributions towards Creolistic Studies, while enriching their individual skills. Finally, the interdisciplinary nature of the approach has demonstrated its potential within and beyond the humanities and social sciences fields (e.g., linguistics, archaeology, history, geography, ethnology, sociology, and genetics), by also introducing the students to basic concepts and practices of Open Science and FAIR principles, including Linked Open Data.

2024

Frequency, overlap and origins of palatal sonorants in three Iberian languages

Autores
Silva, C; Trigo, L;

Publicação
Proceedings of the 16th International Conference on Computational Processing of Portuguese, PROPOR 2024, Santiago de Compostela, Galicia/Spain, 12-15 March, 2024

Abstract

2023

NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection

Autores
Correia, A; Guimaraes, D; Paredes, H; Fonseca, B; Paulino, D; Trigo, L; Brazdil, P; Schneider, D; Grover, A; Jameel, S;

Publicação
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS

Abstract
Visualizing and examining the intellectual landscape and evolution of scientific communities to support collaboration is crucial for multiple research purposes. In some cases, measuring similarities and matching patterns between research publication document sets can help to identify people with similar interests for building research collaboration networks and university-industry linkages. The premise of this work is assessing feasibility for resolving ambiguous cases in similarity detection to determine authorship with natural language processing (NLP) techniques so that crowdsourcing is applied only in instances that require human judgment. Using an NLP-crowdsourcing convergence strategy, we can reduce the costs of microtask crowdsourcing while saving time and maintaining disambiguation accuracy over large datasets. This article contributes a next-gen crowd-artificial intelligence framework that used an ensemble of term frequency-inverse document frequency and bidirectional encoder representation from transformers to obtain similarity rankings for pairs of scientific documents. A sequence of content-based similarity tasks was created using a crowd-powered interface for solving disambiguation problems. Our experimental results suggest that an adaptive NLP-crowdsourcing hybrid framework has advantages for inter-researcher similarity detection tasks where fully automatic algorithms provide unsatisfactory results, with the goal of helping researchers discover potential collaborators using data-driven approaches.

2023

CreoPhonPt: a collaborative database saving Portuguese creoles from digital obliteration

Autores
Silva, CRSe; Pimentel Trigo, LM;

Publicação
Annual International Conference of the Alliance of Digital Humanities Organizations, DH 2022, Graz, Austria, July 10-14, 2023, Conference Abstracts

Abstract

2023

A integração de Ciência Cidadã no fluxo da produção científica nas áreas das humanidades e ciências sociais

Autores
Almeida, Vera Moitinho de; Silva, Carlos Sousa e; Trigo, Luís;

Publicação

Abstract