Development of text mining tools for information retrieval and extraction from patents
[Excerpt] Biomedical literature is composed of a large and ever increasing number of publications, written in natural language. Patents are a relevant fraction of these publications, considered important sources of information due to all the curated information available in the documents, from the g...
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| Other Authors: | , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/45082 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/45082 |
| Summary: | [Excerpt] Biomedical literature is composed of a large and ever increasing number of publications, written in natural language. Patents are a relevant fraction of these publications, considered important sources of information due to all the curated information available in the documents, from the granting process. Although being real technological libraries, their unstructured data turns the search of information within these documents a challenging task. Biomedical text mining is a scientific field that explores this task, creating methodologies to search and structure the information in the biomedical literature. [...] |
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