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[PDF] Top 20 Extraction of Gene Environment Interaction from the Biomedical Literature

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Extraction of Gene Environment Interaction from the Biomedical Literature

Extraction of Gene Environment Interaction from the Biomedical Literature

... same environment terms (serious obstetric com- ...identify environment terms due to many negative ...with environment as a negative example, as shown in the first column of Table ...correct ... See full document

10

Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature

Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature

... Despite the positive results obtained exploiting syntactic information, we claim that there is still room for improvement relying exclusively on shal- low linguistic information for two main reasons. First of all, ... See full document

8

Joint Inference for Knowledge Extraction from Biomedical Literature

Joint Inference for Knowledge Extraction from Biomedical Literature

... knowledge extraction from text is primarily pursued in the field of in- formation extraction with a rather confined goal of extracting instances for flat relational schemas with no nested structures ... See full document

9

Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature

Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature

... Our best runs also significantly outperformed the baselines in the BB-rel+ner and BB-norm subtasks, while the Precision of our best run in the BB-norm subtask is very close to the highest score (-0.0006). In addition, ... See full document

6

Simple tricks for improving pattern-based information extraction from the biomedical literature

Simple tricks for improving pattern-based information extraction from the biomedical literature

... relation extraction methods in biomedical text, where the pat- terns are learnt automatically from ...event extraction problems of the BioNLP task by a careful selection of the patterns of ... See full document

17

An Insight Extraction System on BioMedical Literature with Deep Neural Networks

An Insight Extraction System on BioMedical Literature with Deep Neural Networks

... Relation Extraction Component. We also evaluate the relation extraction compo- nent ...tion extraction component is not supposed to be a general purpose one, since our system only fo- cuses on ... See full document

11

Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature

Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature

... The number of documents that phrases causality be- tween diseases is important in determining the reliability of causal relationships. If multiple documents exist that describe the causality between diseases A and B ... See full document

9

Dependency directed Tree Kernel based Protein Protein Interaction Extraction from Biomedical Literature

Dependency directed Tree Kernel based Protein Protein Interaction Extraction from Biomedical Literature

... Evaluation is done using 10-fold document- level cross-validation, each of which contains 90% of documents as the training data and 10% as the test data. Particularly, for the AIMed cor- pus we apply the exactly same ... See full document

10

Parsing Biomedical Literature

Parsing Biomedical Literature

... in biomedical literature is also motivated by a real need to im- prove information extraction in this ...today, biomedical literature is the largest and fastest growing knowl- edge ... See full document

12

Improving the Effectiveness of Information Extraction from Biomedical Text

Improving the Effectiveness of Information Extraction from Biomedical Text

... and biomedical literature are sources of authentic medical knowledge which is crucial for eHealth 1 ...biomedical literature. Medline 5 contains more than 22 millions abstracts from ... See full document

200

Extraction of biological interaction networks from scientific literature

Extraction of biological interaction networks from scientific literature

... contains genegene relations and was created by searching for pairs of gene names in MedLine ...known genegene interactions from databases (DIP, 5 OMIM 46 ... See full document

15

Classifying Gene Sentences in Biomedical Literature by Combining High Precision Gene Identifiers

Classifying Gene Sentences in Biomedical Literature by Combining High Precision Gene Identifiers

... as gene normalization and pro- tein-protein ...task, gene/protein sentence identification, may serve more effectively for manually searching and browsing biomedical ...task, gene/protein sen- ... See full document

8

Extracting biology from high dimensional biological data

Extracting biology from high dimensional biological data

... produced from a Bayesian network analysis provide us with a framework for understanding the interactions between genes or their encoded proteins and for building predictive models that can be used to evaluate how ... See full document

11

Gene-Environment Interaction in Type II Diabetes

Gene-Environment Interaction in Type II Diabetes

... that environment factors can also directly compromise with insulin action and insulin secretion and the interaction of genetic factors and environmental factors can result in ...of environment ... See full document

5

Gene-environment interaction for polymorphisms in ataxia telangiectasia-mutated gene and radiation exposure in carcinogenesis: results from two literature-based meta-analyses of 27120 participants

Gene-environment interaction for polymorphisms in ataxia telangiectasia-mutated gene and radiation exposure in carcinogenesis: results from two literature-based meta-analyses of 27120 participants

... change from aspartic acid to asparagine at amino acid position 1853 of the protein ...ATM gene, including the rs1801516 polymorphism, were reported to be associated with a decreased ATM expression and a ... See full document

15

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

... In this work, we focused on building upon feature-based classifiers, in particular logistic re- gression, due to their potential extensions to dis- tant supervision (DS), where training data is gen- erated automatically ... See full document

10

Automatic Approaches for Gene Drug Interaction Extraction from Biomedical Text: Corpus and Comparative Evaluation

Automatic Approaches for Gene Drug Interaction Extraction from Biomedical Text: Corpus and Comparative Evaluation

... PPI interaction extraction, there are very limited currently available corpora that can be used for automatic gene-drug interaction extraction system development and ...biological ... See full document

9

Extraction of Named Entities from Tables in Gene Mutation Literature

Extraction of Named Entities from Tables in Gene Mutation Literature

... a fruitful approach for text mining. By relying on ML methods and simple bag-of-words features, we were able to achieve good performance over a num- ber of selected entities, well above header word- matching baselines. ... See full document

9

Extraction of Metadata from ETL Environment

Extraction of Metadata from ETL Environment

... for extraction of metadata involving a set of ...data from source systems to ETL Environment to the ...data from the DWH. The Hive of Bigdata environment presented in a table ...data ... See full document

6

Investigating Genotype-Phenotype relationship extraction from biomedical text

Investigating Genotype-Phenotype relationship extraction from biomedical text

... Leroy et al. [64] develop a shallow parser to extract relations between entities from ab- stracts. The type of these entities has not been restricted. They start from a syntactic perspec- tive and extract ... See full document

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