Search results
Results: 9
Number of items: 9
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Arakelyan, E., Minervini, P., Daza, D., Cochez, M., & Augenstein, I. (2023). Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/55c518a17bd17dcb69aa14d69d085994-Abstract-Conference.html -
Cochez, M., Alivanistos, D., Arakelyan, E., Berrendorf, M., Daza, D., Galkin, M., Minervini, P., Niepert, M., & Ren, H. (2023). Approximate Answering of Graph Queries. In P. Hitzler, M. K. Sarker, & A. Eberhart (Eds.), Compendium of Neurosymbolic Artificial Intelligence (pp. 373-386). (Frontiers in Artificial Intelligence and Applications; Vol. 369). IOS Press. https://doi.org/10.48550/arXiv.2308.06585, https://doi.org/10.3233/FAIA230149 -
Daza, D., Alivanistos, D., Mitra, P., Pijnenburg, T., Cochez, M., & Groth, P. (2023). BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. Journal of Biomedical Semantics, 14, Article 20. https://doi.org/10.1186/s13326-023-00301-y -
Xiong, B., Nayyeri, M., Daza, D., & Cochez, M. (2023). Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 5228-5231). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615294 -
Alivanistos, D., Báez Santamaría, S., Cochez, M., Kalo, J.-C., van Krieken, E., & Thanapalasingam, T. (2022). Prompting as Probing: Using Language Models for Knowledge Base Construction. In S. Singhania, T.-P. Nguyen, & S. Razniewski (Eds.), Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022: co-located with the 21st International Semantic Web Conference (ISWC2022) : virtual event, Hanghzou, China, October 2022 (pp. 11-34). (CEUR Workshop Proceedings; Vol. 3274). CEUR-WS. https://ceur-ws.org/Vol-3274/paper2.pdf -
Daza Cruz, D., Cochez, M., & Groth, P. (2021). Inductive WN18RR and FB15k-237 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4501273
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Daza, D., Cochez, M., & Groth, P. (2021). Inductive entity representations from text via link prediction. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 798-808). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450141 -
Vakulenko, S., Fernandez Garcia, J. D., Polleres, A., de Rijke, M., & Cochez, M. (2019). Message Passing for Complex Question Answering over Knowledge Graphs. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 1431-1440). Association for Computing Machinery. https://doi.org/10.48550/arXiv.1908.06917, https://doi.org/10.1145/3357384.3358026 -
Vakulenko, S., de Rijke, M., Cochez, M., Savenkov, V., & Polleres, A. (2018). Measuring Semantic Coherence of a Conversation. In D. Vrandečić, K. Bontcheva, M. C. Suárez-Figueroa, V. Presutti, I. Celino, M. Sabou, L.-A. Kaffee, & E. Simperl (Eds.), The Semantic Web – ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018 : proceedings (Vol. I, pp. 634-651). (Lecture Notes in Computer Science; Vol. 11136). Springer. https://doi.org/10.1007/978-3-030-00671-6_37
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