PhD defense of Luis-Gil Moreno-Jiménez – 18 November 2022

18 November 2022

Date: 18th November at 2:00 pm. Location: Thesis room, Hanna Arendt Campus (City Center). The jury comprises: Abstract: In this thesis, we approach the study of creativity in general, with a particular interest in how it is created using artificial devices, and we present a more targeted and formal treatment of artificial literary text generation. In “The Creative Mind: Myths and Mechanisms” (Boden, 2004), Margaret Boden explains that the creative process is an intuitive path followed by humans to generate new artifacts appreciated for their novelty, societal significance, and beauty. She proposes a classification of creativity into three categories: — Combinatorial creativity, where known elements are merged to generate new elements; — Exploratory creativity, where generation occurs from observation or exploration; and — Transformational creativity, where generated elements result from modifications or experiments applied to objects produced by exploratory creativity. The quest for automated processes capable of creatively generating artifacts has recently given rise to a research domain called Computational Creativity, which offers intriguing prospects in various artistic domains such as visual arts, music, and literature. Although significant advancements have been made in this field, there exist difficulties and limits related to the inherent complexity in understanding the human creative Plus d'infos

PhD defense of Mayeul Matthias – 22 January 2021

2 January 2021

On January 22, 2021, Mayeul Matthias will defend his thesis entitled “Recommendation of Personalized Cultural Paths – An Interdisciplinary Study of Automated Visit Proposals.” This thesis is supervised by Juan-Manuel Torres and Didier Josselin, and co-supervised by Fen Zhou. The jury consists of: Abstract: This thesis focuses on recommending cultural visits through an interdisciplinary approach. These works combine techniques from Operations Research and natural language processing while drawing on concepts from audience sociology and geography. We propose new methods for evaluating cultural points of interest and automatically creating tourist routes that take into account the desires expressed by a visitor. These principles are applied on two different scales and contexts: museum visits and cultural paths within a city. In the first part, we concentrate on visits to art museums based on the preferences expressed by the visitor and the prestige of the artworks. This dual approach allows classifying the works both according to the cultural affinities of the visitor and their importance within the museum. The latter is calculated by applying automatic text summarization algorithms to the museum’s official descriptions of the works, providing a visit profile reflecting the discovery of a museum through its masterpieces. This profile can then Plus d'infos

PhD defense of Carlos González – 18 December 2019

18 December 2019

Thesis defense of Carlos González entitled ‘Multimedia and Multilingual Automatic Summarization and Information Retrieval’ on Wednesday, December 18, 2019, at 2:00 PM in the Thesis Room (Saint Marthe – City Center). Jury: Abstract: As multimedia sources have become massively available online, helping users to understand the large amount of information they generate has become a major issue. One way to approach this is by summarizing multimedia content, thus generating abridged and informative versions of the original sources. This PhD thesis addresses the subject of text and audio-based multimedia summarization in a multilingual context. It has been conducted within the framework of the Access Multilingual Information opinionS (AMIS) CHISTERA-ANR project, whose main objective is to make information easy to understand for everybody. Text-based multimedia summarization uses transcripts to produce summaries that may be presented either as text or in their original format. The transcription of multimedia sources can be done manually or automatically by an Automatic Speech Recognition (ASR) system. The transcripts produced using either method differ from wellformed written language given their source is mostly spoken language. In addition, ASR transcripts lack syntactic information. For example, capital letters and punctuation marks are unavailable, which means sentences are nonexistent. To deal Plus d'infos