Search Results for author: Vincent Labatut

Found 23 papers, 18 papers with code

Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset

1 code implementation16 Oct 2023 Arthur Amalvy, Vincent Labatut, Richard Dufour

Using this dataset, we train a neural context retriever based on a BERT model that is able to find relevant context for NER.

Language Modelling Large Language Model +5

The Role of Global and Local Context in Named Entity Recognition

1 code implementation4 May 2023 Arthur Amalvy, Vincent Labatut, Richard Dufour

Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER).

named-entity-recognition Named Entity Recognition +1

Data Augmentation for Robust Character Detection in Fantasy Novels

1 code implementation9 Feb 2023 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.

Data Augmentation named-entity-recognition +2

Characterizing and comparing external measures for the assessment of cluster analysis and community detection

1 code implementation1 Feb 2021 Nejat Arinik, Vincent Labatut, Rosa Figueiredo

For a collection of candidate measures, it first consists in describing their behavior by computing them for a generated dataset of partitions, obtained by applying a set of predefined parametric partition transformations.

Community Detection graph partitioning

WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection

1 code implementation LREC 2020 Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linares

This large corpus of more than 380k annotated messages opens perspectives for online abuse detection and especially for context-based approaches.

Abuse Detection Benchmarking

Serial Speakers: a Dataset of TV Series

1 code implementation LREC 2020 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.


Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series

no code implementations5 Sep 2019 Xavier Bost, Serigne Gueye, Vincent Labatut, Martha Larson, Georges Linarès, Damien Malinas, Raphaël Roth

In this paper, we tackle plot modeling by considering the social network of interactions between the characters involved in the narrative: substantial, durable changes in a major character's social environment suggest a new development relevant for the summary.

Extraction and Analysis of Fictional Character Networks: A Survey

1 code implementation5 Jul 2019 Vincent Labatut, Xavier Bost

We first describe the extraction process in a generic way, and explain how its constituting steps are implemented in practice, depending on the medium of the narrative, the goal of the network analysis, and other factors.

Descriptive Information Retrieval +2

Conversational Networks for Automatic Online Moderation

no code implementations31 Jan 2019 Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares

We identify the most appropriate network extraction parameters and discuss the discriminative power of our features, relatively to their topological and temporal nature.

Abuse Detection

Graph-based Features for Automatic Online Abuse Detection

no code implementations3 Aug 2017 Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares

While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually.

Abuse Detection

Continuous Average Straightness in Spatial Graphs

1 code implementation2 Aug 2017 Vincent Labatut

In this article, we adopt a continuous approach to average the Straightness over the edges of spatial graphs.

Discrete Mathematics

Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots

1 code implementation25 Feb 2016 Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès

In order to assess our method, we apply it to a new corpus of 3 popular TV series, and compare it to both standard approaches.

A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence

1 code implementation22 Sep 2015 Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué

We show that most features deemed efficient to predict online influence, such as the numbers of retweets and followers, are not relevant to this problem.

Detecting Real-World Influence Through Twitter

1 code implementation19 Jun 2015 Jean-Val{è}re Cossu, Nicolas Dugu{é}, Vincent Labatut

In this paper, we investigate the issue of detecting the real-life influence of people based on their Twitter account.

A Comparison of Named Entity Recognition Tools Applied to Biographical Texts

1 code implementation3 Aug 2013 Samet Atdağ, Vincent Labatut

We then select publicly available, well known and free for research NER tools for comparison: Stanford NER, Illinois NET, OpenCalais NER WS and Alias-i LingPipe.

named-entity-recognition Named Entity Recognition +1

MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation

1 code implementation1 May 2013 Cihan Aksoy, Vincent Labatut, Chantal Cherifi, Jean-François Santucci

Larger and realistic syntactic (WSDL) collections exist, but their semantic annotation requires a certain level of automation, due to the number of operations to be processed.

Benefits of Semantics on Web Service Composition from a Complex Network Perspective

no code implementations1 May 2013 Chantal Cherifi, Vincent Labatut, Jean-François Santucci

The number of publicly available Web services (WS) is continuously growing, and in parallel, we are witnessing a rapid development in semantic-related web technologies.

Service Composition

Qualitative Comparison of Community Detection Algorithms

1 code implementation16 Jul 2012 Günce Orman, Vincent Labatut, Hocine Cherifi

Community detection is a very active field in complex networks analysis, consisting in identifying groups of nodes more densely interconnected relatively to the rest of the network.

Community Detection

Comparative Evaluation of Community Detection Algorithms: A Topological Approach

1 code implementation21 Jun 2012 Günce Orman, Vincent Labatut, Hocine Cherifi

Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications.

Social and Information Networks Physics and Society

Evaluation of Performance Measures for Classifiers Comparison

1 code implementation18 Dec 2011 Vincent Labatut, Hocine Cherifi

Among the numerous measures proposed over the years, it appears that the classical overall success rate and marginal rates are the more suitable for classifier comparison task.

General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.