no code implementations • SemEval (ACL) 2016 • Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering.
no code implementations • SEMEVAL 2018 • Daniel Kopev, Atanas Atanasov, Dimitrina Zlatkova, Momchil Hardalov, Ivan Koychev, Ivelina Nikolova, Galia Angelova
We present the system built for SemEval-2018 Task 2 on Emoji Prediction.
no code implementations • RANLP 2017 • Svetla Boytcheva, Ivelina Nikolova, Galia Angelova
Unfortunately, most frequent pattern mining approaches do not use contextual information for extracted patterns: general patterns are extracted regardless of the context.
no code implementations • RANLP 2017 • Svetla Boytcheva, Ivelina Nikolova, Galia Angelova, Zhivko Angelov
We describe a method which extracts Association Rules from texts in order to recognise verbalisations of risk factors.
no code implementations • LREC 2014 • Irina Temnikova, William A. Baumgartner Jr., Negacy D. Hailu, Ivelina Nikolova, Tony McEnery, Adam Kilgarriff, Galia Angelova, K. Bretonnel Cohen
SubCAT, the Sublanguage Corpus Analysis Toolkit, assesses the representativeness and closure properties of corpora to analyze the extent to which they are either sublanguages, or representative samples of the general language.