no code implementations • EMNLP (CMCL) 2020 • Irene Russo
Existing datasets for multiple languages also include linguistic variables such as the length and the frequency of lemmas in different corpora.
no code implementations • EAMT 2022 • 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.
no code implementations • SEMEVAL 2021 • Irene Russo
Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complexity Prediction task at SemEval-2021.
no code implementations • LREC 2016 • Riccardo Del Gratta, Francesca Frontini, Monica Monachini, Gabriella Pardelli, Irene Russo, Roberto Bartolini, Fahad Khan, Claudia Soria, Nicoletta Calzolari
This proposal describes a new way to visualise resources in the LREMap, a community-built repository of language resource descriptions and uses.
no code implementations • LREC 2016 • Claudia Soria, Irene Russo, Valeria Quochi, Davyth Hicks, Antton Gurrutxaga, Anneli Sarhimaa, Matti Tuomisto
Poor digital representation of minority languages further prevents their usability on digital media and devices.
no code implementations • LREC 2014 • Roberto Bartolini, Valeria Quochi, Irene De Felice, Irene Russo, Monica Monachini
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).
no code implementations • LREC 2012 • Tommaso Caselli, Irene Russo, Francesco Rubino
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.
no code implementations • LREC 2012 • Nicoletta Calzolari, Riccardo Del Gratta, Gil Francopoulo, Joseph Mariani, Francesco Rubino, Irene Russo, Claudia Soria
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.
no code implementations • LREC 2012 • Tommaso Caselli, Francesco Rubino, Francesca Frontini, Irene Russo, Valeria Quochi
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.
no code implementations • LREC 2012 • Riccardo Del Gratta, Francesca Frontini, Francesco Rubino, Irene Russo, Nicoletta Calzolari
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.
no code implementations • LREC 2012 • Massimo Moneglia, Monica Monachini, Omar Calabrese, Aless Panunzi, ro, Francesca Frontini, Gloria Gagliardi, Irene Russo
This is a consequence of the peculiar way each natural language categorizes Action i. e. it is a consequence of semantic factors.