Named Entity Recognition for Content Published in Government Gazettes Based on a Weak Supervision Approach

/Gamification and Software Engineering: Finding the Balance between Stimulation and Challenges

 

Seminars of the Postgraduate Program in Informatics at UnB

 

Time: 2pm

Speaker: Lucelia Vieira Mota   (master's degree)

Advisor: Prof. Thiago de Paulo Faleiros

Title: Named Entity Recognition for Content Published in Government Gazettes Based on a Weak Supervision Approach

Abstract: Weak Supervision methods can be used when large amounts of labeled data are unavailable, labeled training data is scarce, expensive to obtain, or impractical to annotate manually. We describe developing and evaluating a corpus of text from the Brazilian government's published gazettes, explicitly focusing on public bidding and contract excerpts. The Government Gazette is a form of horizontal accountability which increases the transparency of the public acts done by the government. Reading all the publications to extract and annotate the necessary information requires an inconceivable individual effort to be done daily. With the rise of Machine Learning, the demand for labeling training data has also increased. This process involves identifying entities, nevertheless, finding individuals with the necessary expertise to manually generate this data can be challenging and expensive due to the significant amount of time required to complete the task. Named Entity Recognition (NER) and Weak Supervised approaches can reduce the manual annotation required to train NER and classification models. Our proposed work is intended to assist in developing a decision-making system that requires a particular set of entities from the Brazilian government's published gazettes, focusing on public bidding and contract excerpts. In some cases, the direct application of weak supervision to the corpus yielded satisfactory results compared to models trained by costly hand-annotated data.

 

Time: 3pm

Speaker: Prof. Daniel de Paula Porto (CIC)

Title: Gamification and Software Engineering: Finding the Balance between Stimulation and Challenges

Summary: Gamification has been widely discussed as a strategy for boosting motivation and collaboration in software engineering. In this approach, game elements are applied to transform routine tasks into engaging challenges, encouraging professionals to achieve better results. However, it is crucial to find a balance between the stimulation provided by gamification and the challenges it can present. In this presentation, we will explore the relationship between gamification and software engineering, analyzing the benefits and essential considerations for successful implementation. We'll cover ways in which gamification can boost motivation, promote continuous learning, and strengthen collaboration within software engineering teams. However, we will also discuss the challenges and possible risks associated with gamification, such as the risk of focusing only on competition to the detriment of teamwork. Finding the right balance is critical to the success of gamification in software engineering. By carefully considering the positives and challenges involved, teams can adopt approaches that boost motivation, engagement and productivity, while avoiding pitfalls and promoting a collaborative culture. Throughout the presentation, we will share examples and tips for achieving this balance, sharing experiences for researchers interested in gamification.

Location: Teams- Team PPGI0095 Seminar, Channel 1-2023

PPGI0095 Team

 

Prof. Célia Ghedini Ralha ( This email address is being protected from spambots. You need JavaScript enabled to view it. )

Coordinator Postgraduate Seminars in Informatics 1-2023