129 citations · 896 across the 54 of their papers we have counts for
54 papers
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
Lucas Potin, Rosa Figueiredo, Vincent Labatut +1
In the context of public procurement, several indicators called red flags are used to estimate fraud risk. They are computed according to certain contract attributes and are theref…
The Role of Global and Local Context in Named Entity Recognition
Arthur Amalvy, Vincent Labatut, Richard Dufour
Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER). As the complexity of their self-attention mechanism preve…
FOPPA: An Open Database of French Public Procurement Award Notices From 2010--2020
Lucas Potin, Vincent Labatut, Pierre-Henri Morand +1
Public Procurement refers to governments' purchasing activities of goods, services, and construction of public works. In the European Union (EU), it is an essential sector, corresp…
Data Augmentation for Robust Character Detection in Fantasy Novels
Arthur Amalvy, Vincent Labatut, Richard Dufour
Named Entity Recognition (NER) is a low-level task often used as a foundation for solving higher level NLP problems. In the context of character detection in novels, NER false nega…
Efficient Enumeration of the Optimal Solutions to the Correlation Clustering problem
Nejat Arinik, Vincent Labatut, Rosa Figueiredo
According to the structural balance theory, a signed graph is considered structurally balanced when it can be partitioned into a number of modules such that positive and negative e…
Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal
Vincent Labatut
The task of extracting and analyzing character networks from works of fiction, such as novels and movies, has been the object of a number of recent publications. However, only a ve…
Characterizing and comparing external measures for the assessment of cluster analysis and community detection
Nejat Arinik, Vincent Labatut, Rosa Figueiredo
In the context of cluster analysis and graph partitioning, many external evaluation measures have been proposed in the literature to compare two partitions of the same set. This ma…
Graph embeddings for Abusive Language Detection
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Abusive behaviors are common on online social networks. The increasing frequency of antisocial behaviors forces the hosts of online platforms to find new solutions to address this…
Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs
Nejat Arinik, Rosa Figueiredo, Vincent Labatut
In order to study real-world systems, many applied works model them through signed graphs, i.e. graphs whose edges are labeled as either positive or negative. Such a graph is consi…
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
Noé Cecillon, Vincent Labatut, Richard Dufour +1
With the spread of online social networks, it is more and more difficult to monitor all the user-generated content. Automating the moderation process of the inappropriate exchange…
Serial Speakers: a Dataset of TV Series
Xavier Bost, Vincent Labatut, Georges Linares
For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plo…
Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Xavier Bost, Serigne Gueye, Vincent Labatut +4
Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most vi…
Extraction and Analysis of Fictional Character Networks: A Survey
Vincent Labatut, Xavier Bost
A character network is a graph extracted from a narrative, in which vertices represent characters and edges correspond to interactions between them. A number of narrative-related p…
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features
Noé Cecillon, Vincent Labatut, Richard Dufour +1
In recent years, online social networks have allowed worldwide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent use…
Conversational Networks for Automatic Online Moderation
Etienne Papegnies, Vincent Labatut, Richard Dufour +1
Moderation of user-generated content in an online community is a challenge that has great socio-economical ramifications. However, the costs incurred by delegating this work to hum…
Multiple Partitioning of Multiplex Signed Networks: Application to European Parliament Votes
Nejat Arinik, Rosa Figueiredo, Vincent Labatut
For more than a decade, graphs have been used to model the voting behavior taking place in parliaments. However, the methods described in the literature suffer from several limitat…
Extraction and Analysis of Dynamic Conversational Networks from TV Series
Xavier Bost, Vincent Labatut, Serigne Gueye +1
Identifying and characterizing the dynamics of modern tv series subplots is an open problem. One way is to study the underlying social network of interactions between the character…
Signed Graph Analysis for the Interpretation of Voting Behavior
Nejat Arinik, Rosa Figueiredo, Vincent Labatut
In a signed graph, each link is labeled with either a positive or a negative sign. This is particularly appropriate to model polarized systems. Such a graph can be characterized th…
Graph-based Features for Automatic Online Abuse Detection
Etienne Papegnies, Vincent Labatut, Richard Dufour +1
While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually. Automating this task is an…
Continuous Average Straightness in Spatial Graphs
Vincent Labatut
The Straightness is a measure designed to characterize a pair of vertices in a spatial graph. It is defined as the ratio of the Euclidean distance to the graph distance between the…
Exploring the Evolution of Node Neighborhoods in Dynamic Networks
Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali
Dynamic Networks are a popular way of modeling and studying the behavior of evolving systems. However, their analysis constitutes a relatively recent subfield of Network Science, a…
Community Structure Characterization
Vincent Labatut, Günce Keziban Orman
This entry discusses the problem of describing some communities identified in a complex network of interest, in a way allowing to interpret them. We suppose the community structure…
Impact Of Content Features For Automatic Online Abuse Detection
Etienne Papegnies, Vincent Labatut, Richard Dufour +1
Online communities have gained considerable importance in recent years due to the increasing number of people connected to the Internet. Moderating user content in online communiti…
Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach
Alexandre Reiffers-Masson, Vincent Labatut
Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spre…