Exploiting Deep Neural Networks for Tweet-based Emoji Prediction. - Andrei Catalin; Giacomo Zara; Yaroslav Nechaev; Gianni Barlacchi; Alessandro Moschitti (NL4AI@AI*IA, 2018)

Predicting Emoji Exploiting Multimodal Data: FBK Participation in ITAmoji Task. - Andrei Catalin Coman; Yaroslav Nechaev; Giacomo Zara (EVALITA@CLiC-it, 2018)

An Incremental Turn-Taking Model for Task-Oriented Dialog Systems. - Andrei Catalin Coman; Koichiro Yoshino; Yukitoshi Murase; Satoshi Nakamura 001; Giuseppe Riccardi (INTERSPEECH, 2019)

Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. - Christos Theodoropoulos 001; James Henderson 001; Andrei Catalin Coman; Marie-Francine Moens (CoNLL, 2021)

Strong and Efficient Baselines for Open Domain Conversational Question Answering. - Andrei C. Coman; Gianni Barlacchi; Adrià de Gispert (EMNLP (Findings), 2023)

GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction. - Andrei C. Coman; Christos Theodoropoulos 001; Marie-Francine Moens; James Henderson 001 (CoRR, 2023)

Transformers as Graph-to-Graph Models. - James Henderson 001; Alireza Mohammadshahi; Andrei C. Coman; Lesly Miculicich (CoRR, 2023)

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (IEEE Access, 2024)

Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (CoRR, 2024)

Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors. - Andrei Catalin Coman; Christos Theodoropoulos 001; Marie-Francine Moens; James Henderson 001 (ACL (Findings), 2025)

Reduction of Supervision for Biomedical Knowledge Discovery. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (CoRR, 2025)