Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People’s Gender and Origin
Marco Antonio Stranisci*, Pere-Lluís Huguet Cabot*, Elisa Bassignana*, Roberto Navigli To appear at the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP 2024) (*): equal contribution
What's wrong with your model? A Quantitative Analysis of Relation Classification
Elisa Bassignana, Rob van der Goot, Barbara Plank In Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)
Can Humans Identify Domains?
Maria Barrett*, Max Müller-Eberstein*, Elisa Bassignana*, Amalie Brogaard Pauli*, Mike Zhang*, Rob van der Goot* In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (*): equal contribution
How to Encode Domain Information in Relation Classification
Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen, Gustav Kristensen, Marie Haahr Petersen, Rob van der Goot, Barbara Plank In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Silver Syntax Pre-training for Cross-Domain Relation Extraction
Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, and Barbara Plank In Findings of the Association for Computational Linguistics: ACL 2023
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, and Barbara Plank In Proceedings of the 24rd Nordic Conference on Computational Linguistics (NoDaLiDa)
CrossRE: A Cross-Domain Dataset for Relation Extraction
Elisa Bassignana and Barbara Plank In Findings of the Association for Computational Linguistics: EMNLP 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, and Barbara Plank In Findings of the Association for Computational Linguistics: EMNLP 2022
Evidence > Intuition: Transferability Estimation for Encoder Selection
Elisa Bassignana*, Max Müller-Eberstein*, Mike Zhang*, and Barbara Plank In Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) (*): equal contribution
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Elisa Bassignana and Barbara Plank In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (SWR-ACL 2022)
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Christian Hardmeier, and Barbara Plank Machine Learning Evaluation Standards at ICLR 2022 (SMILES) Received Outstanding paper award
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
Elisa Bassignana, Malvina Nissim, Viviana Patti In Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality
Elisa Bassignana, Malvina Nissim, Viviana Patti In Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media (PEOPLES 2020)