NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK
Biomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR) and Information Extraction (IE). The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like Pu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2016-07-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJSC_Vol_6_Iss_4_paper_7_1302_1307.pdf |
| _version_ | 1824010654752702464 |
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| author | N. Kanya T. Ravi |
| author_facet | N. Kanya T. Ravi |
| author_sort | N. Kanya |
| collection | DOAJ |
| description | Biomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR) and Information Extraction (IE). The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like PubMed, MedLine etc., based on a search query. The IR Process ends up with the generation of corpus with the relevant document retrieved from the Publication databases based on the query. The IE task includes the process of Preprocessing of the document, Named Entity Recognition (NER) from the documents and Relationship Extraction. This process includes Natural Language Processing, Data Mining techniques and machine Language algorithm. The preprocessing task includes tokenization, stop word Removal, shallow parsing, and Parts-Of-Speech tagging. NER phase involves recognition of well-defined objects such as genes, proteins or cell-lines etc. This process leads to the next phase that is extraction of relationships (IE). The work was based on machine learning algorithm Conditional Random Field (CRF). |
| first_indexed | 2024-12-18T21:26:21Z |
| format | Article |
| id | doaj.art-76d5fd4b360b44f9921cca046eb11dc7 |
| institution | Directory Open Access Journal |
| issn | 0976-6561 2229-6956 |
| language | English |
| last_indexed | 2024-12-18T21:26:21Z |
| publishDate | 2016-07-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Soft Computing |
| spelling | doaj.art-76d5fd4b360b44f9921cca046eb11dc72022-12-21T20:51:30ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562016-07-016413031307NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASKN. Kanya0T. Ravi1Manonmanium Sundaranar University, IndiaMadanapalle Institute of Technology and Science, IndiaBiomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR) and Information Extraction (IE). The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like PubMed, MedLine etc., based on a search query. The IR Process ends up with the generation of corpus with the relevant document retrieved from the Publication databases based on the query. The IE task includes the process of Preprocessing of the document, Named Entity Recognition (NER) from the documents and Relationship Extraction. This process includes Natural Language Processing, Data Mining techniques and machine Language algorithm. The preprocessing task includes tokenization, stop word Removal, shallow parsing, and Parts-Of-Speech tagging. NER phase involves recognition of well-defined objects such as genes, proteins or cell-lines etc. This process leads to the next phase that is extraction of relationships (IE). The work was based on machine learning algorithm Conditional Random Field (CRF).http://ictactjournals.in/paper/IJSC_Vol_6_Iss_4_paper_7_1302_1307.pdfInformation ExtractionInformation RetrievalText MiningNamed Entity RecognitionData Mining |
| spellingShingle | N. Kanya T. Ravi NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK ICTACT Journal on Soft Computing Information Extraction Information Retrieval Text Mining Named Entity Recognition Data Mining |
| title | NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK |
| title_full | NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK |
| title_fullStr | NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK |
| title_full_unstemmed | NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK |
| title_short | NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK |
| title_sort | named entity recognition from biomedical text an information extraction task |
| topic | Information Extraction Information Retrieval Text Mining Named Entity Recognition Data Mining |
| url | http://ictactjournals.in/paper/IJSC_Vol_6_Iss_4_paper_7_1302_1307.pdf |
| work_keys_str_mv | AT nkanya namedentityrecognitionfrombiomedicaltextaninformationextractiontask AT travi namedentityrecognitionfrombiomedicaltextaninformationextractiontask |