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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review. [PDF]
JMIR CancerChen D +4 more
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TrialSieve: A Comprehensive Biomedical Information Extraction Framework for PICO, Meta-Analysis, and Drug Repurposing. [PDF]
Bioengineering (Basel)Kartchner D +14 more
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Foundations and Trends in Databases, 2008
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The field of information extraction has its genesis in the natural language processing community where the primary ...
Jie Tang +3 more
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The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The field of information extraction has its genesis in the natural language processing community where the primary ...
Jie Tang +3 more
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Temporal Information Extraction
Proceedings of the AAAI Conference on Artificial Intelligence, 2010Research on information extraction (IE) seeks to distill relational tuples from natural language text, such as the contents of the WWW. Most IE work has focussed on identifying static facts, encoding them as binary relations. This is unfortunate, because the vast majority of facts are fluents, only holding true during an interval of ...
Xiao Ling, Daniel S. Weld
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IEEE Intelligent Systems, 2015
Information extraction constructs a structured knowledge representation from unstructured text, so that the knowledge may be further used for search, inference, and analysis. Given a specification of select types of entities, semantic relations, and events, it builds a database from instances of this information in text.
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Information extraction constructs a structured knowledge representation from unstructured text, so that the knowledge may be further used for search, inference, and analysis. Given a specification of select types of entities, semantic relations, and events, it builds a database from instances of this information in text.
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Knowledge and Information Systems, 2006
Typographic and visual information is an integral part of textual documents. Most information extraction (IE) systems ignore most of this visual information, processing the text as a linear sequence of words. Thus, much valuable information is lost. In this paper, we show how to make use of this visual information for IE.
Yonatan Aumann +4 more
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Typographic and visual information is an integral part of textual documents. Most information extraction (IE) systems ignore most of this visual information, processing the text as a linear sequence of words. Thus, much valuable information is lost. In this paper, we show how to make use of this visual information for IE.
Yonatan Aumann +4 more
openaire +1 more source
Information Extraction Grammars
2015Formal grammars are extensively used to represent patterns in Information Extraction, but they do not permit the use of several types of features. Finite-state transducers, which are based on regular grammars, solve this issue, but they have other disadvantages such as the lack of expressiveness and the rigid matching priority.
Mónica Marrero, Julián Urbano
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2007
XML(eXtensible Markup Language) is used as the description form of the documents and the data exchanged on the Web. Now, the usage of the XML is extending to not only the exchange of the XML document but also that of the XML database for classification and retrieval. This paper develops how to retrieve the related objective data from the tree structure
Masashi Okada +2 more
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XML(eXtensible Markup Language) is used as the description form of the documents and the data exchanged on the Web. Now, the usage of the XML is extending to not only the exchange of the XML document but also that of the XML database for classification and retrieval. This paper develops how to retrieve the related objective data from the tree structure
Masashi Okada +2 more
openaire +1 more source