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Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

A. Fergadis, C. Baziotis, D. Pappas, H. Papageorgiou, and A. Potamianos. Database, (2018)

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Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors.S. Kotitsas, D. Pappas, I. Androutsopoulos, R. McDonald, and M. Apidianaki. BioNLP@ACL, page 298-308. Association for Computational Linguistics, (2019)Towards a fully personalized food recommendation tool.A. Nezis, H. Papageorgiou, P. Georgiadis, P. Jiskra, D. Pappas, and M. Pontiki. AVI, page 77:1-77:3. ACM, (2018)BioRead: A New Dataset for Biomedical Reading Comprehension.D. Pappas, I. Androutsopoulos, and H. Papageorgiou. LREC, European Language Resources Association (ELRA), (2018)ATHENA@CL-SciSumm 2019: Siamese recurrent bi-directional neural network for identifying cited text spans.A. Fergadis, D. Pappas, and H. Papageorgiou. BIRNDL@SIGIR, volume 2414 of CEUR Workshop Proceedings, page 256-262. CEUR-WS.org, (2019)Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.A. Fergadis, C. Baziotis, D. Pappas, H. Papageorgiou, and A. Potamianos. Database, (2018)AUEB at BioASQ 6: Document and Snippet Retrieval.G. Brokos, P. Liosis, R. McDonald, D. Pappas, and I. Androutsopoulos. CoRR, (2018)Smart Cities in Stars: Food Perceptions and Beyond.M. Pontiki, P. Koltsida, D. Gkoumas, D. Pappas, H. Papageorgiou, E. Toli, and Y. Ioannidis. INSCI, volume 10673 of Lecture Notes in Computer Science, page 174-183. Springer, (2017)

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

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