[1]

Parcalabescu, L. and Frank, A. (2023) MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada, Association for Computational Linguistics, to appear. [ bib | http ]

[2]

Eichenberg, C., Black, S., Weinbach, S., Parcalabescu, L., and Frank, A. (2022) MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning. Findings of EMNLP, pp. 2416--2428, Association for Computational Linguistics. [ bib | http ]

[3]

Erdem, E., et al. (2022) Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning. Journal of Artificial Intelligence Research (JAIR), 73, 1131--1207. [ bib | http ]

[4]

Parcalabescu, L., Cafagna, M., Muradjan, L., Frank, A., Calixto, I., and Gatt, A. (2022) VALSE💃: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, pp. 8253--8280, Association for Computational Linguistics. [ bib | http ]

[5]

Parcalabescu, L., Trost, N., and Frank, A. (2021) What is Multimodality? Proceedings of the First Workshop on Multimodal Semantic Representations (MMSR), Groningen, The Netherlands (Online), pp. 1--10, Association for Computational Linguistics. [ bib | .pdf ]

[6]

Parcalabescu, L., Gatt, A., Frank, A., and Calixto, I. (2021) Seeing Past Words: Testing the Cross-Modal Capabilities of Pretrained V&L Models. Proceedings of the First Workshop on Multimodal Semantic Representations (MMSR), Groningen, The Netherlands (Online), pp. 32--44, Association for Computational Linguistics. [ bib | .pdf ]

[7]

Suter, J., Parcalabescu, L., and Frank, A. (2021) Grounding Plural Phrases: Countering Evaluation Biases by Individuation. Proceedings of the 2nd Workshop on Advances in Language and Vision Research (ALVR 2021) at NAACL 2021, Online, pp. 22--28, Association for Computational Linguistics. [ bib | http ]

[8]

Opitz, J., Parcalabescu, L., and Frank, A. (2020) AMR Similarity Metrics from Principles. Transactions of the Association for Computational Linguistics, 8, 522--538. [ bib | http ]

[9]

Parcalabescu, L. and Frank, A. (2020) Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval. Proceedings of the Workshop on Multimodal Learning (In conjunction with CVPR 2020), Seattle, WA, USA, ; also presented at: ALVR 2020: First Workshop on Advances in Language and Vision Research (co-located with ACL 2020). [ bib | .html ]

[10]

Trost, N., Rempel, E., Ermakova, O., Tamirisa, S., Parcalabescu, L., Boutros, M., Lohmann, J., and Lohmann, I. (2018) WEADE: a workflow for enrichment analysis and data exploration. PloS one, 13, e0204016ff. [ bib ]

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