Protein-protein interaction extraction by leveraging multiple kernels and parsers.
about
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational researchA single kernel-based approach to extract drug-drug interactions from biomedical literatureExtracting drug-drug interaction from the biomedical literature using a stacked generalization-based approachMultichannel Convolutional Neural Network for Biological Relation ExtractionBioCause: Annotating and analysing causality in the biomedical domainmiRTex: A Text Mining System for miRNA-Gene Relation Extraction.Predicting receptor-ligand pairs through kernel learning.Walk-weighted subsequence kernels for protein-protein interaction extraction.A comprehensive benchmark of kernel methods to extract protein-protein interactions from literatureComplex event extraction at PubMed scaleAn unsupervised text mining method for relation extraction from biomedical literatureDetecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature.Text Mining for Protein DockingOn the efficacy of per-relation basis performance evaluation for PPI extraction and a high-precision rule-based approachA generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems.Discovering and visualizing indirect associations between biomedical concepts.Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.Wide-coverage relation extraction from MEDLINE using deep syntax.Event extraction for DNA methylation.An analysis of gene/protein associations at PubMed scale.Protein-protein interaction extraction with feature selection by evaluating contribution levels of groups consisting of related features.PCorral--interactive mining of protein interactions from MEDLINEA Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction.PIPE: a protein-protein interaction passage extraction module for BioCreative challengeDiscovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literature.Recognising discourse causality triggers in the biomedical domainA hybrid approach to extract protein-protein interactions.Biological network extraction from scientific literature: state of the art and challenges.Implications of high-temperature events and water deficits on protein profiles in wheat (Triticum aestivum L. cv. Vinjett) grain.PPInterFinder--a mining tool for extracting causal relations on human proteins from literature.Distributed smoothed tree kernel for protein-protein interaction extraction from the biomedical literature.Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.Natural language processing in text mining for structural modeling of protein complexes.LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT taskA Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction
P2860
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P2860
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@en
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@nl
type
label
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@en
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@nl
prefLabel
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@en
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@nl
P2093
P1476
Protein-protein interaction extraction by leveraging multiple kernels and parsers.
@en
P2093
Jun'ichi Tsujii
Makoto Miwa
Rune Saetre
Yusuke Miyao
P304
P356
10.1016/J.IJMEDINF.2009.04.010
P577
2009-06-04T00:00:00Z