Search Results for author:
Found 23 papers, 18 papers with code
Remplacement de mentions pour l’adaptation d’un corpus de reconnaissance d’entités nommées à un domaine cible (Mention replacement for adapting a named entity recognition dataset to a target domain)
La reconnaissance d’entités nommées est une tâche de traitement automatique du langage naturel bien étudiée et utile dans de nombreuses applications.
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
Using this dataset, we train a neural context retriever based on a BERT model that is able to find relevant context for NER.
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
In the context of public procurement, several indicators called red flags are used to estimate fraud risk.
The Role of Global and Local Context in Named Entity Recognition
Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER).
Data Augmentation for Robust Character Detection in Fantasy Novels
Named Entity Recognition (NER) is a low-level task often used as a foundation for solving higher level NLP problems.
Characterizing and comparing external measures for the assessment of cluster analysis and community detection
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.
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
This large corpus of more than 380k annotated messages opens perspectives for online abuse detection and especially for context-based approaches.
Serial Speakers: a Dataset of TV Series
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
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
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.
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features
In recent years, online social networks have allowed worldwide users to meet and discuss.
Conversational Networks for Automatic Online Moderation
We identify the most appropriate network extraction parameters and discuss the discriminative power of our features, relatively to their topological and temporal nature.
Graph-based Features for Automatic Online Abuse Detection
While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually.
Continuous Average Straightness in Spatial Graphs
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
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
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
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
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.
MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation
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
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.
Qualitative Comparison of Community Detection Algorithms
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.
Comparative Evaluation of Community Detection Algorithms: A Topological Approach
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
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.
