3 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
The Role of Natural Language Processing Tasks in Automatic Literary Character Network Construction
Arthur Amalvy, Vincent Labatut, Richard Dufour
The automatic extraction of character networks from literary texts is generally carried out using natural language processing (NLP) cascading pipelines. While this approach is wide…
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…
Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts
Arthur Amalvy, Vincent Labatut, Richard Dufour
Renard (Relationships Extraction from NARrative Documents) is a Python library that allows users to define custom natural language processing (NLP) pipelines to extract character n…