4 papers
From Noise to Signal: When Outliers Seed New Topics
Evangelia Zve, Gauvain Bourgne, Benjamin Icard +1
Outliers in dynamic topic modeling are typically treated as noise, yet we show that some can serve as early signals of emerging topics. We introduce a temporal taxonomy of news-doc…
An Argumentative Explanation Framework for Generalized Reason Model with Inconsistent Precedents
Wachara Fungwacharakorn, Gauvain Bourgne, Ken Satoh
Precedential constraint is one foundation of case-based reasoning in AI and Law. It generally assumes that the underlying set of precedents must be consistent. To relax this assump…
From Outliers to Topics in Language Models: Anticipating Trends in News Corpora
Evangelia Zve, Benjamin Icard, Alice Breton +3
This paper examines how outliers, often dismissed as noise in topic modeling, can act as weak signals of emerging topics in dynamic news corpora. Using vector embeddings from state…
An action language-based formalisation of an abstract argumentation framework
Yann Munro, Camilo Sarmiento, Isabelle Bloch +3
An abstract argumentation framework is a commonly used formalism to provide a static representation of a dialogue. However, the order of enunciation of the arguments in an argument…