暂无分享,去创建一个
Hannaneh Hajishirzi | David Wadden | Noah A. Smith | Iz Beltagy | Tom Hope | Rahul Nadkarni | Iz Beltagy | Hannaneh Hajishirzi | David Wadden | Tom Hope | R.K. Nadkarni
[1] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[2] Roy Schwartz,et al. Knowledge Enhanced Contextual Word Representations , 2019, EMNLP/IJCNLP.
[3] Juan-Zi Li,et al. Text-Enhanced Representation Learning for Knowledge Graph , 2016, IJCAI.
[4] Jungyun Seo,et al. Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models , 2020, COLING.
[5] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[6] Wei-Hung Weng,et al. Publicly Available Clinical BERT Embeddings , 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.
[7] Zhiyuan Liu,et al. Representation Learning of Knowledge Graphs with Entity Descriptions , 2016, AAAI.
[8] Iz Beltagy,et al. SciBERT: A Pretrained Language Model for Scientific Text , 2019, EMNLP.
[9] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[10] Iryna Gurevych,et al. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks , 2019, EMNLP.
[11] J. Leskovec,et al. Identification of disease treatment mechanisms through the multiscale interactome , 2020, Nature Communications.
[12] Michael Gamon,et al. Representing Text for Joint Embedding of Text and Knowledge Bases , 2015, EMNLP.
[13] Vikram Nitin,et al. Composition-based Multi-Relational Graph Convolutional Networks , 2020, ICLR.
[14] D. Swanson. Fish Oil, Raynaud's Syndrome, and Undiscovered Public Knowledge , 2015, Perspectives in biology and medicine.
[15] Chirag J Patel,et al. A standard database for drug repositioning , 2017, Scientific Data.
[16] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[17] Sebastian Riedel,et al. Language Models as Knowledge Bases? , 2019, EMNLP.
[18] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[19] Xiaodong Liu,et al. Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing , 2020, ACM Trans. Comput. Heal..
[20] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[21] Jaewoo Kang,et al. BioBERT: a pre-trained biomedical language representation model for biomedical text mining , 2019, Bioinform..
[22] Jian-Yun Nie,et al. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space , 2018, ICLR.
[23] Fei Sha,et al. DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections , 2021, Conference of the European Chapter of the Association for Computational Linguistics.
[24] Andreas Bender,et al. A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective , 2021, Briefings in bioinformatics.
[25] Chengsheng Mao,et al. KG-BERT: BERT for Knowledge Graph Completion , 2019, ArXiv.
[26] Carl Allen,et al. Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings , 2020, BIONLP.
[27] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[28] Magbubah Essack,et al. Application and evaluation of knowledge graph embeddings in biomedical data , 2021, PeerJ Comput. Sci..
[29] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[30] Ola Engkvist,et al. Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery , 2021, ArXiv.
[31] Jure Leskovec,et al. Modeling polypharmacy side effects with graph convolutional networks , 2018, bioRxiv.
[32] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[33] M. Lindsay. Target discovery , 2003, Nature Reviews Drug Discovery.
[34] Aidong Zhang,et al. A survey on literature based discovery approaches in biomedical domain , 2019, J. Biomed. Informatics.
[35] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[36] Daniel S. Himmelstein,et al. Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes , 2014, bioRxiv.
[37] Fabio Petroni,et al. How Context Affects Language Models' Factual Predictions , 2020, AKBC.
[38] J. Barkin. The Technical Details , 2006 .
[39] Gerard de Melo,et al. Explainable Link Prediction for Emerging Entities in Knowledge Graphs , 2020, SEMWEB.
[40] Yaohang Li,et al. Biomedical data and computational models for drug repositioning: a comprehensive review , 2020, Briefings Bioinform..
[41] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[42] Paul Groth,et al. Inductive Entity Representations from Text via Link Prediction , 2021, WWW.