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Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.

, , , and . J. Biomed. Semant., (2015)

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Question Analysis for a Closed Domain Question Answering System., , , , , , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 468-482. Springer, (2015)Identification of fever and vaccine-associated gene interaction networks using ontology-based literature mining., , , and . J. Biomed. Semant., (2012)The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature., , and . BioData Min., (2016)Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization., , and . LREC, European Language Resources Association (ELRA), (2016)Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine., , , , , , , , , and 17 other author(s). Database J. Biol. Databases Curation, (2019)Detecting Speculations and their Scopes in Scientific Text., and . EMNLP, page 1398-1407. ACL, (2009)Extension of the Interaction Network Ontology for Literature Mining of Gene-gene Interaction Networks from Sentences with Multiple Interaction Keywords., , and . BDM2I@ISWC, volume 1428 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024., , , , , and . CASE, page 229-233. Association for Computational Linguistics, (2024)Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels., , , and . BMC Bioinform., 20-S (21): 707 (2019)A Computational Software for Training Robust Drug-Target Affinity Prediction Models: pydebiaseddta., , , , , and . J. Comput. Biol., 30 (11): 1240-1245 (November 2023)