no code implementations • LREC 2022 • Ratchakrit Arreerard, Stephen Mander, Scott Piao
Over the past decades, Natural Language Processing (NLP) research has been expanding to cover more languages.
no code implementations • LREC 2020 • Israa Alsiyat, Scott Piao
Our experiment evidently shows that metaphors have a significant impact on the performance of current Arabic sentiment tools, and it is an important task to develop Arabic language resources and computational models for Arabic metaphors.
Arabic Sentiment Analysis Cultural Vocal Bursts Intensity Prediction
no code implementations • LREC 2020 • Mahmoud El-Haj, Nathan Rutherford, Matthew Coole, Ignatius Ezeani, Sheryl Prentice, Nancy Ide, Jo Knight, Scott Piao, John Mariani, Paul Rayson, Keith Suderman
The corpus database is distributed to permit fast indexing, and provides a simple web front-end with corpus linguistics methods for sub-corpus comparison and retrieval.
no code implementations • WS 2019 • Ignatius Ezeani, Scott Piao, Steven Neale, Paul Rayson, Dawn Knight
While the application of word embedding models to downstream Natural Language Processing (NLP) tasks has been shown to be successful, the benefits for low-resource languages is somewhat limited due to lack of adequate data for training the models.
no code implementations • WS 2017 • Mahmoud El-Haj, Paul Rayson, Scott Piao, Stephen Wattam
Creating high-quality wide-coverage multilingual semantic lexicons to support knowledge-based approaches is a challenging time-consuming manual task.
1 code implementation • LREC 2016 • Scott Piao, Paul Rayson, Dawn Archer, Francesca Bianchi, Carmen Dayrell, Mahmoud El-Haj, Ricardo-Mar{\'\i}a Jim{\'e}nez, Dawn Knight, Michal K{\v{r}}en, Laura L{\"o}fberg, Rao Muhammad Adeel Nawab, Jawad Shafi, Phoey Lee Teh, Olga Mudraya
Lexical coverage is an important factor concerning the quality of the lexicons and the performance of the corpus annotation tools, and in this experiment we focus on evaluating the lexical coverage achieved by the multilingual lexicons and semantic annotation tools based on them.