PhD thesis defense of Arthur Amalvy – 12/09/2024

28 November 2024

Thesis title: Natural Language Processing for the Representation of Narrative Texts through Character Networks Date: 12/09/2024 – 9 AM Place: CERI’s Ada Lovelace amphitheater. Abstract: A character network represents characters as vertices in a graph, and their relationships as edges between them. In the case of literary works, they model a whole narrative using a single mathematical object. Depending on the needs, their edges can represent different types of interactions between characters: co-occurrence, conversation, direct action… Additionally, the temporal changes in the relationships between characters can be modeled with dynamic networks. Thanks to this flexibility, character networks have been used to tackle a number of tasks, such as literary genre classification, story segmentation, recommendation or summarization. Manually extracting these networks is costly, which is why many researchers interested in automating the process. This, in turn, requires solving different Natural Language Processing (NLP) tasks such as Named Entity Recognition (NER), coreference resolution or speaker attribution. In this thesis, we present contributions to this automatic extraction process in the case of novels, as well as to character network applications. Inspired by the 2019 survey of Labatut and Bost that summarizes existing extraction efforts in a generic extraction framework, we propose Renard, a Plus d'infos

PhD defense of Willie KOUAM – 03/12/2024

26 November 2024

Title: Network Centrality Game for Cyber Deception against Network Epidemic Propagation Date: Tuesday, December 3, 2024 – 3 pm Place: thesis room (salle des thèses) at the Hannah Arendt campus. Abstract: The rise in data breaches and service disruptions increasingly threatens internal security, with potentially devastating consequences for individuals and organizations. As a result, users of information and communication technologies must adopt tools that are both effective and efficient in combating the spread of malware. The term “users” encompasses a wide range of actors, including individuals, businesses, governmental and non-governmental organizations, and states, in short anyone who communicates through modern technologies.  Among the most pressing threats they face are lateral movement and widespread epidemic propagation through the covert recruitment of unsuspecting users into botnets, the cyber-terrorist armies capable of inflicting significant damage, such as crippling businesses whose services are used by the same users. In these scenarios, as in many others, users, deceived by skilled experts known as attackers, unknowingly contribute to cyberattacks, with deception serving as the primary attack vector. Cybercriminals, unlike defenders, frequently violate privacy rules, allowing them to be better informed, sometimes unilaterally, about the level of compromise of each user.  In their efforts to control multiple Plus d'infos

Cornet seminar – Felipe Albuquerque – 11/07/2024

4 November 2024

Title: The Capacitated p-Location Problem with Territorial Coverage Constraints Date: 11/07/2024 – 11:35 AM Room: S6 Résumé : In spatial planning, the efficient location and allocation of services pose complex challenges across diverse contexts. Our research focuses on the capacitated p-location problem, which aims to select p facilities from a set of potential locations to minimize allocation costs between facilities and consumers with specific demand weights, while respecting capacity constraints. To better model real-world applications, we extended this problem by introducing territorial coverage constraints. We examined the adapted formulation of this expanded problem and developed a heuristic approach to handle larger instances effectively. A case study in France’s PACA (Provence-Alpes-Côte d’Azur) region illustrates the impact of these coverage constraints.

SLG seminar – Ana Montalvo – 11/06/2024

4 November 2024

Title: Exploring Short-Duration Spoken Language Recognition: Insights from CENATAV Date: 11/06/2024 – 11AM Room: S4 Abstract : This presentation will introduce the Advanced Technologies Application Center (CENATAV), outlining its core mission and research areas, with a focus on the work of its Voice Processing Group. We will discuss the challenges of conducting research with limited access to high-performance computing resources and large datasets, emphasizing our recent work on spoken language recognition in very short-duration audio signals. Language: English