Search results for:
Filter your results
0 Search results
Evelin Freire Amorim
Projects
Easy4ALL
The Easy4ALL project aims to develop a solution based on the no-code paradigm that allows, through natural language, non-programmers to extend CPCIT4ALL applications, such as HR management, utilities management, or portals, creating new functionalities/modules on top of them without the need for programming. Also, users of this software will be allowed to make requests or interact with the software applications provided by the company in an automated and assisted manner.
Text2Story
Nowadays, journalistic content is distributed in multiple formats, mostly through the web and specific internet-based applications running on smartphones and tablets. Text is a very important format, but readers (or more accurately users or information consumers) heavily rely on images, videos, slideshows, charts and infographics. Textual content is still the main representation for information. Any journalistic subject (e.g. Trump and Russia) is described in one or more texts produced by journalists and possibly commented by readers. Many of those subjects are followed during days, weeks or months. To grasp a possibly vast and somewhat complex set of interconnected news articles, readers would greatly benefit from tools that summarize those articles by showing main actors, their interplay and their trajectories in time and space, their motivations, main events, causal relations of events and outcomes. In the Text2Story project we use Artificial Intelligence, Computer Science and Linguistics to automatically extract those narrative elements using a well-defined semantic framework and re-represent them in formats that convey the essential story but that are more efficiently consumed by the users. The project is lead by INESC TEC in collaboration with researchers from the Center of Linguistics of U. Porto, the Lusa News Agency and Jornal Público.
Publications
Keywords attention for fake news detection using few positive labels
de Souza, MC;Golo, MPS;Jorge, AMG;de Amorim, ECF;Campos, RNT;Marcacini, RM;Rezende, SO;
2024
INFORMATION SCIENCES
Mapeamento do Perfil das Mulheres Brasileiras em Processamento de Linguagem Natural
Caseli, H;Amorim, E;Schneider, ETR;Freitas, LIA;Rodrigues, J;Nunes, MdGV;
2023
Anais do XVII Women in Information Technology (WIT 2023)
A survey on narrative extraction from textual data
Santana, B;Campos, R;Amorim, E;Jorge, A;Silvano, P;Nunes, S;
2023
ARTIFICIAL INTELLIGENCE REVIEW
Annotation and Visualisation of Reporting Events in Textual Narratives
Silvano, P;Amorim, E;Leal, A;Cantante, I;Silva, F;Jorge, A;Campos, R;Nunes, S;
2023
Proceedings of Text2Story - Sixth Workshop on Narrative Extraction From Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2, 2023.
