Collaborative Metadata Aggregation and Curation in Support of Digital Language Equality Monitoring

no code implementations • TDLE (LREC) 2022 • Maria Giagkou, Stelios Piperidis, Penny Labropoulou, Miltos Deligiannis, Athanasia Kolovou, Leon Voukoutis

The European Language Equality (ELE) project develops a strategic research, innovation and implementation agenda (SRIA) and a roadmap for achieving full digital language equality in Europe by 2030.

European Language Grid: A Joint Platform for the European Language Technology Community

no code implementations • EACL 2021 • Georg Rehm, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Victoria Arranz, Andrejs Vasi{\c{l}}jevs, Gerhard Backfried, Jose Manuel Gomez-Perez, Ulrich Germann, R{\'e}mi Calizzano, Nils Feldhus, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Julian Moreno-Schneider, Dimitris Galanis, Penny Labropoulou, Miltos Deligiannis, Katerina Gkirtzou, Athanasia Kolovou, Dimitris Gkoumas, Leon Voukoutis, Ian Roberts, Jana Hamrlova, Dusan Varis, Lukas Kacena, Khalid Choukri, Val{\'e}rie Mapelli, Micka{\"e}l Rigault, Julija Melnika, Miro Janosik, Katja Prinz, Andres Garcia-Silva, Cristian Berrio, Ondrej Klejch, Steve Renals

Europe is a multilingual society, in which dozens of languages are spoken.

NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention

3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Georgios Paraskevopoulos, Nikolaos Ellinas, Athanasia Kolovou, Alexandros Potamianos

In this paper we present a deep-learning model that competed at SemEval-2018 Task 2 "Multilingual Emoji Prediction".

Task 2 Word Embeddings

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Shrikanth Narayanan, Alexandros Potamianos

In this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".

Emotion Classification Transfer Learning +1

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Pinelopi Papalampidi, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Alexandros Potamianos

In this paper we present two deep-learning systems that competed at SemEval-2018 Task 3 "Irony detection in English tweets".

Word Embeddings

Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter

no code implementations • SEMEVAL 2017 • Athanasia Kolovou, Filippos Kokkinos, Aris Fergadis, Pinelopi Papalampidi, Elias Iosif, Mal, Nikolaos rakis, Elisavet Palogiannidi, Haris Papageorgiou, Shrikanth Narayanan, Alex Potamianos, ros

In this paper, we describe our submission to SemEval2017 Task 4: Sentiment Analysis in Twitter.

General Classification Sentiment Analysis +1

Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation

no code implementations • SEMEVAL 2016 • Elisavet Palogiannidi, Athanasia Kolovou, Fenia Christopoulou, Filippos Kokkinos, Elias Iosif, Mal, Nikolaos rakis, Haris Papageorgiou, Shrikanth Narayanan, Alex Potamianos, ros

Opinion Mining Twitter Sentiment Analysis +1