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Found 8 papers, 2 papers with code
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.
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.
Constrained speaker diarization of TV series based on visual patterns
Speaker diarization, usually denoted as the ''who spoke when'' task, turns out to be particularly challenging when applied to fictional films, where many characters talk in various acoustic conditions (background music, sound effects...).
D{é}tection de locuteurs dans les s{é}ries TV
Speaker diarization of audio streams turns out to be particularly challenging when applied to fictional films, where many characters talk in various acoustic conditions (background music, sound effects, variations in intonation...).
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.
Apport de l'information temporelle des contextes pour la repr\'esentation vectorielle continue des mots
Ces approches sont manipul{\'e}es au travers d{'}un r{\'e}seau de neurones, l{'}architecture CBOW cherchant alors {\`a} pr{\'e}dire un mot sachant son contexte, alors que l{'}architecture Skip-Gram pr{\'e}dit un contexte sachant un mot.
