BioWordVec, improving biomedical word embeddings with subword information and MeSH
暂无分享,去创建一个
Qingyu Chen | Zhiyong Lu | Hongfei Lin | Zhihao Yang | Yijia Zhang | Hongfei Lin | Zhiyong Lu | Qingyu Chen | Yijia Zhang | Zhihao Yang | Yijia Zhang | Zhiyong Lu
[1] Neil R. Smalheiser,et al. Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings , 2019, J. Biomed. Informatics.
[2] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[3] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[4] Neil R. Smalheiser,et al. Unsupervised Low-Dimensional Vector Representations for Words, Phrases and Text that are Transparent, Scalable, and produce Similarity Metrics that are Complementary to Neural Embeddings , 2018, ArXiv.
[5] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[6] Yifan Peng,et al. Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models , 2018, ArXiv.
[7] Sampo Pyysalo,et al. How to Train good Word Embeddings for Biomedical NLP , 2016, BioNLP@ACL.
[8] Herrero-ZazoMaría,et al. The DDI corpus , 2013 .
[9] Ralf Zimmer,et al. RelEx - Relation extraction using dependency parse trees , 2007, Bioinform..
[10] Yifan Peng,et al. Extracting chemical–protein relations with ensembles of SVM and deep learning models , 2018, Database J. Biol. Databases Curation.
[11] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[12] Ming Zhou,et al. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification , 2014, ACL.
[13] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[14] Hiroyuki Shindo,et al. Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation , 2016, CoNLL.
[15] Zhiyong Lu,et al. Sentence Similarity Measures Revisited: Ranking Sentences in PubMed Documents , 2018, BCB.
[16] Yifan Peng,et al. BioC-compatible full-text passage detection for protein–protein interactions using extended dependency graph , 2016, Database J. Biol. Databases Curation.
[17] Jari Björne,et al. PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations , 2012, BioNLP@HLT-NAACL.
[18] Fabio Rinaldi,et al. Strategies towards digital and semi-automated curation in RegulonDB , 2017, Database J. Biol. Databases Curation.
[19] Terrence Adam,et al. Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[20] Jun Zhao,et al. Relation Classification via Convolutional Deep Neural Network , 2014, COLING.
[21] Paloma Martínez,et al. Lessons learnt from the DDIExtraction-2013 Shared Task , 2014, J. Biomed. Informatics.
[22] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[23] Jari Björne,et al. Comparative analysis of five protein-protein interaction corpora , 2008, BMC Bioinformatics.
[24] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[25] Koray Kavukcuoglu,et al. Learning word embeddings efficiently with noise-contrastive estimation , 2013, NIPS.
[26] Jari Björne,et al. BioInfer: a corpus for information extraction in the biomedical domain , 2007, BMC Bioinformatics.
[27] Rohit J. Kate,et al. Comparative experiments on learning information extractors for proteins and their interactions , 2005, Artif. Intell. Medicine.
[28] Hongfei Lin,et al. Drug drug interaction extraction from biomedical literature using syntax convolutional neural network , 2016, Bioinform..
[29] Daniel Berleant,et al. Mining MEDLINE: Abstracts, Sentences, or Phrases? , 2001, Pacific Symposium on Biocomputing.
[30] Mandar Mitra,et al. Word Embedding based Generalized Language Model for Information Retrieval , 2015, SIGIR.
[31] M. de Rijke,et al. Short Text Similarity with Word Embeddings , 2015, CIKM.
[32] Hongfang Liu,et al. A Comparison of Word Embeddings for the Biomedical Natural Language Processing , 2018, J. Biomed. Informatics.
[33] Wei Zheng,et al. Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths , 2017, Bioinform..
[34] Zhiyuan Liu,et al. Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion , 2016, ArXiv.
[35] Paloma Martínez,et al. The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions , 2013, J. Biomed. Informatics.
[36] Xu Chen,et al. Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding , 2017, ACL.
[37] Eneko Agirre,et al. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation , 2017, *SEMEVAL.