Search Results for author: Joaquin Taverner

Found 2 papers, 0 papers with code

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes

no code implementations22 Feb 2024 Ramon Ruiz-Dolz, Joaquin Taverner, John Lawrence, Chris Reed

Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating argumentatively rich data, the limited size of these corpora, and the constraints that represent the different languages and domains in which these data is annotated.

Argument Mining

e-Genia3 An AgentSpeak extension for empathic agents

no code implementations1 Aug 2022 Joaquin Taverner, Emilio Vivancos, Vicente Botti

The use of a memory of past events and their corresponding elicited emotions allows the maintaining of an affective link to support long-term empathic interaction between agents.

Cannot find the paper you are looking for? You can Submit a new open access paper.