Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency
Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation ex...
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| Format: | Article |
| Language: | English |
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Shahrood University of Technology
2016-07-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | http://jad.shahroodut.ac.ir/article_640_20cc68e17f0691be87570a785e8e20d3.pdf |
| _version_ | 1818557337898582016 |
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| author | B. Bokharaeian A. Diaz |
| author_facet | B. Bokharaeian A. Diaz |
| author_sort | B. Bokharaeian |
| collection | DOAJ |
| description | Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in the research literature. This paper aims to explore clause dependency related features alongside to linguistic-based negation scope and cues to overcome complexity of the sentences. The results show by employing the proposed features combined with a bag of words kernel, the performance of the used kernel methods improves. Moreover, experiments show the enhanced local context kernel outperforms other methods. The proposed method can be used as an alternative approach for sentence simplification techniques in biomedical area which is an error-prone task. |
| first_indexed | 2024-12-13T23:58:11Z |
| format | Article |
| id | doaj.art-fb22e6729e894a8e8dac0f9df04a83be |
| institution | Directory Open Access Journal |
| issn | 2322-5211 2322-4444 |
| language | English |
| last_indexed | 2024-12-13T23:58:11Z |
| publishDate | 2016-07-01 |
| publisher | Shahrood University of Technology |
| record_format | Article |
| series | Journal of Artificial Intelligence and Data Mining |
| spelling | doaj.art-fb22e6729e894a8e8dac0f9df04a83be2022-12-21T23:26:29ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442016-07-014220321210.5829/idosi.JAIDM.2016.04.02.08640Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause DependencyB. Bokharaeian0A. Diaz1Facultad de Informática, Universidad Complutense de Madrid, Calle del Prof. José G! Santesmases, Madrid, Spain.Facultad de Informática, Universidad Complutense de Madrid, Calle del Prof. José G! Santesmases, Madrid, Spain.Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in the research literature. This paper aims to explore clause dependency related features alongside to linguistic-based negation scope and cues to overcome complexity of the sentences. The results show by employing the proposed features combined with a bag of words kernel, the performance of the used kernel methods improves. Moreover, experiments show the enhanced local context kernel outperforms other methods. The proposed method can be used as an alternative approach for sentence simplification techniques in biomedical area which is an error-prone task.http://jad.shahroodut.ac.ir/article_640_20cc68e17f0691be87570a785e8e20d3.pdfDrug-Drug interactionRelation extractionNegation detectionClause dependency |
| spellingShingle | B. Bokharaeian A. Diaz Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency Journal of Artificial Intelligence and Data Mining Drug-Drug interaction Relation extraction Negation detection Clause dependency |
| title | Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency |
| title_full | Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency |
| title_fullStr | Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency |
| title_full_unstemmed | Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency |
| title_short | Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency |
| title_sort | extraction of drug drug interaction from literature through detecting linguistic based negation and clause dependency |
| topic | Drug-Drug interaction Relation extraction Negation detection Clause dependency |
| url | http://jad.shahroodut.ac.ir/article_640_20cc68e17f0691be87570a785e8e20d3.pdf |
| work_keys_str_mv | AT bbokharaeian extractionofdrugdruginteractionfromliteraturethroughdetectinglinguisticbasednegationandclausedependency AT adiaz extractionofdrugdruginteractionfromliteraturethroughdetectinglinguisticbasednegationandclausedependency |