Search results
Results: 12
Number of items: 12
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Zhang, Z., Groth, P., Calixto, I., & Schelter, S. (2024). Directions Towards Efficient and Automated Data Wrangling with Large Language Models. In 2024 IEEE 40th International Conference on Data Engineering Workshops: ICDEW 2024 : 13-17 May 2024, Utrecht, Netherlands : proceedings (pp. 301-304). IEEE Computer Society. https://doi.org/10.1109/ICDEW61823.2024.00044 -
Calixto, I., Yaneva, V., & Moura Cardoso, R. (2023). Natural language processing for mental disorders: an overview. In S. R. Dash, S. Parida, E. Villatoro Tello, B. Acharya, & O. Bojar (Eds.), Natural Language Processing in Healthcare: A Special Focus on Low Resource Languages (pp. 37-59). (Innovations in Big Data and Machine Learning). CRC Press. https://doi.org/10.1201/9781003138013-3
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Parcalabescu, L., Gatt, A., Frank, A., & Calixto, I. (2021). Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks. In L. Donatelli, N. Krishnaswamy, K. Lai, & J. Pustejovsky (Eds.), Multimodal Semantic Representations: Proceedings of the First Workshop : IWCS : June 16, 2021 (pp. 32-44). The Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2012.12352
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Calixto, I., Raganato, A., & Pasini, T. (2021). Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks. In K. Toutanova, A. Rumshisky, L. Zettlemoyer, D. Hakkani-Tur, I. Beltagy, S. Bethard, R. Cotterell, T. Chakraborty, & Y. Zhou (Eds.), The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL-HLT 2021 : proceedings of the conference : June 6-11, 2021 (pp. 3651-3661). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.286
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Alberts, H., Huang, N. T., Deshpande, Y. R., Liu, Y., Cho, K., Vania, C., & Calixto, I. (2021). VisualSem: a high-quality knowledge graph for vision and language. In D. Ataman, A. Birch, A. Conneau, O. Firat, S. Ruder, & G. G. Sahin (Eds.), The 1st Workshop on Multilingual Representation Learning: MRL 2021 : proceedings of the conference : November 11, 2021 (pp. 138-152). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.mrl-1.13
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Alberts, H., & Coimbra Alves Cavalcanti Calixto, I. (2020). VisualSem [Data set]. GitHub. https://github.com/iacercalixto/visualsem
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Milewski, V., Moens, M.-F., & Calixto, I. (2020). Are Scene Graphs Good Enough to Improve Image Captioning? In K.-F. Wong, K. Knight, & H. Wu (Eds.), The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: AACL-IJCNLP 2020 : proceedings of the conference : December 4-7, 2020 (pp. 504-515). The Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.aacl-main.50/
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Phang, J., Calixto, I., Htut, P. M., Pruksachatkun, Y., Liu, H., Vania, C., Kann, K., & Bowman, S. R. (2020). English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. In K.-F. Wong, K. Knight, & H. Wu (Eds.), The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: AACL-IJCNLP 2020 : proceedings of the conference : December 4-7, 2020 (pp. 557–575). The Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.aacl-main.56/
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Fernández, R., Pezzelle, S., Sinclair, A., Calixto, I., Takmaz, E., Giulianelli, M., Gelderloos, L., Bruni, E., Haber, J., Bernardi, R. B., & Baumgärtner, T. (2019). The PhotoBook Task and Dataset [Data set]. GitHub. https://dmg-photobook.github.io/
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