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Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Logistic Regression
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Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs
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Modeling Relations and Their Mentions without Labeled Text
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Context-driven automatic subgraph creation for literature-based discovery
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Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach
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Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations
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RelEx—Relation extraction using dependency parse trees
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SemMedDB: a PubMed-scale repository of biomedical semantic predications
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PubMed and beyond: a survey of web tools for searching biomedical literature
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Modeling Missing Data in Distant Supervision for Information Extraction
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Classification and Regression Trees.
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Investigation of unsupervised pattern learning techniques for bootstrap construction of a medical treatment lexicon
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Distant supervision for relation extraction without labeled data
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Proceedings of the 21st annual meeting on Association for Computational Linguistics -
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Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs
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Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph
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Explainable Drug Repurposing in Context via Deep Reinforcement Learning
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Drug Repositioning via Entity Transformation in Biomedical Knowledge Systems
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How Important is Domain-Specific Language Model Pretraining and Instruction Finetuning for Biomedical Relation Extraction?
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Visual Analysis of the National Characteristics of the COVID-19 Vaccine Based on Knowledge Graph
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Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study
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A Siamese Neural Network framework for computational drug repositioning using literature-derived biomedical knowledge
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