no code implementations • • Anabela Barreiro, José GC de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fabio Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani
This paper presents the Multitask, Multilingual, Multimodal Language Generation COST Action – Multi3Generation (CA18231), an interdisciplinary network of research groups working on different aspects of language generation.
This proposal describes a new way to visualise resources in the LREMap, a community-built repository of language resource descriptions and uses.
Poor digital representation of minority languages further prevents their usability on digital media and devices.
The paper describes the multimodal enrichment of ItalWordNet action verbsÂ’ entries by means of an automatic mapping with an ontology of action types instantiated by video scenes (ImagAct).
Accurate and reliable documentation of Language Resources is an undisputable need: documentation is the gateway to discovery of Language Resources, a necessary step towards promoting the data economy.
Sentiment Analysis (SA) and Opinion Mining (OM) have become a popular task in recent years in NLP with the development of language resources, corpora and annotation schemes.
In addition to this, we assigned to the extracted entries of the lexicon a confidence score based on the relative frequency and evaluated the extractor on domain specific data.
Relations among phenomena at different linguistic levels are at the essence of language properties but today we focus mostly on one specific linguistic layer at a time, without (having the possibility of) paying attention to the relations among the different layers.
This is a consequence of the peculiar way each natural language categorizes Action i. e. it is a consequence of semantic factors.