CfP TOTh 2024 Opening Talk "An overview of automatic term extraction" - Last Call for Registration Training (4-5 June) & Conference - (6-7 June)

[Apologies for multiple postings]

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*TOTh 2024: **Terminology & Ontology: Theories and applications*
*University Savoie Mont Blanc (France)*
*Last Call for Registration - Training & Conference*
_Conference_: 6-7 June 2024, http://toth.condillac.org/
_Training_: 4-5 June 2024, http://toth.condillac.org/training
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*Opening Talk: **"An overview of automatic term extraction"*
http://toth.condillac.org/opening-talk
"Automatic term extraction (ATE) is a natural language processing (NLP) 
task is meant to ease the effort of manually identifying terms from 
domain-specific corpora by providing a list of candidate terms. As units 
of knowledge in a specific field of expertise, extracted terms are not 
only beneficial for several terminographical tasks, but also support and 
improve several complex downstream tasks, e.g., information retrieval, 
machine translation, topic detection, and sentiment analysis. ATE 
systems, along with annotated datasets, have been studied and developed 
widely for decades, but recently we observed a surge in novel neural 
systems to address this task. The talk will present an overview of 
recent ATE approaches, notably deep learning-based approaches, with a 
focus on Transformer-based neural models. We will also compare them to 
the previous ATE approaches, which were mainly based on feature 
engineering and non-neural supervised learning algorithms." Prof Antoine 
Doucet, Université de la Rochelle (France)
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Prof Christophe Roche
University of Crete (Greece) - ERA Chair Holder
University Savoie Mont Blanc (France) - Emeritus
https://talos-ai4ssh.uoc.gr/
http://christophe-roche.fr/
roche.university@gmail.com