Gallinari, Patrick

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M. R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., et al. (2015) · BMC Bioinformatics

Biomedical Text Mining and OntologiesSemantic Web and Ontologies

Cited by 598

QuestEval: Summarization Asks for Fact-based Evaluation

Scialom, T., Dray, P.-A., Lamprier, S., Piwowarski, B., Staiano, J., Wang, A., & Gallinari, P. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdvanced Text Analysis Techniques

Cited by 175

Controlling hallucinations at word level in data-to-text generation

Rebuffel, C., Roberti, M., Soulier, L., Scoutheeten, G., Cancelliere, R., & Gallinari, P. (2022) · Data Mining and Knowledge Discovery

Topic ModelingNatural Language Processing Techniques

Cited by 50

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Rebuffel, C., Scialom, T., Soulier, L., Piwowarski, B., Lamprier, S., Staiano, J., Scoutheeten, G., & Gallinari, P. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 24

What BERT Sees: Cross-Modal Transfer for Visual Question Generation

Scialom, T., Bordes, P., Dray, P.-A., Staiano, J., & Gallinari, P. (2020) · Proceedings of the 13th International Conference on Natural Language Generation

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 9