no code implementations • SEMEVAL 2020 • Lavinia Aparaschivei, Andrei Palihovici, Daniela G{\^\i}fu
The {``}Sentiment Analysis for Code-Mixed Social Media Text{''} task at the SemEval 2020 competition focuses on sentiment analysis in code-mixed social media text , specifically, on the combination of English with Spanish (Spanglish) and Hindi (Hinglish).
no code implementations • LREC 2020 • Dan Cristea, Ionu{\textcommabelow{t}} Pistol, {\textcommabelow{S}}erban Boghiu, Anca-Diana Bibiri, Daniela G{\^\i}fu, Andrei Scutelnicu, Mihaela Onofrei, Tr, Diana ab{\u{a}}{\textcommabelow{t}}, George Bugeag
This paper describes the on-going work carried out within the CoBiLiRo (Bimodal Corpus for Romanian Language) research project, part of ReTeRom (Resources and Technologies for Developing Human-Machine Interfaces in Romanian).
no code implementations • SEMEVAL 2018 • Mihaela Onofrei, Ionu{\textcommabelow{t}} Hulub, Tr, Diana ab{\u{a}}{\textcommabelow{t}}, Daniela G{\^\i}fu
This paper presents the participation of Apollo{'}s team in the SemEval-2018 Task 9 {``}Hypernym Discovery{''}, Subtask 1: {``}General-Purpose Hypernym Discovery{''}, which tries to produce a ranked list of hypernyms for a specific term.
Ranked #7 on Hypernym Discovery on General
no code implementations • SEMEVAL 2018 • Larisa Alexa, Alina Loren{\textcommabelow{t}}, Daniela G{\^\i}fu, Tr, Diana ab{\u{a}}{\textcommabelow{t}}
The {``}Multilingual Emoji Prediction{''} task focuses on the ability of predicting the correspondent emoji for a certain tweet.
no code implementations • LREC 2014 • Mircea Petic, Daniela G{\^\i}fu
This technology is based on transliteration and semiautomatic alignment of parallel texts at the level of letter/lexem/multiwords.