ONTOLegoLangUAge

ONTOLegolangUAge is an ontology that motivates the importance of associating linguistic information with standard ontologies and expressive models, beyond the label systems implemented in RDF and OWL. It is crucial to capture correctly the relation between natural language constructs and ontological structures.

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Semantic Package

This ontology aims to capture the semantics of documents through a set of key aspects in texts, such as the temporal dimension, presence of named entities, detection of opinionated information, or conceptual classifications. In addition, the ontology provides a lexical dimension, where the sentence of each document, and a possible summary derived from it, are taken into account.

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Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation (CA18231)

Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processing (NLP) are language generation tasks, and being able to effectively perform these tasks implies (1) that machines are equipped with world knowledge that can require multi-modal processing and reasoning (e.g. textual, visual and auditory inputs, or sensory data streams), and (2) the study of strong, novel Machine Learning (ML) methods (e.g. structured prediction, generative models), since virtually all state-of-the-art NLP models are learned from data.

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