Text Mining: Extracting Information From Textual DataAlexander Linden
With the development of the Internet, the World Wide Web has become an invaluable information source for most organizations. However, most documents availa... 孟小峰,陆宏钧,王海燕,... - 《Journal of Computer Science\s&\stechnology》 被引量: 67发表: 2002年 EXTRACTING NON-TEXTUAL DATA FROM DO...
A method for extracting company names from textual information uses a combination of heuristics, exception lists, and extensive corpus analysis. The method first locates company name suffixes (i.e., Company, Corporation) and attempts to ... LF Rau - US 被引量: 49发表: 1994年 Key Element Sum...
(OpenKP), a large scale, open domain keyphrase extraction dataset. The dataset features 148,124 real world web documents along with a human annotation indicating the 1-3 most relevant keyphrases. More information about the dataset and our initial experiments can be found in the paperOpen Domain ...
"Information about a type annotation in some file" struct TypeAnnInfo funName :: Symbol kind :: TypeAnnKind tyExpr :: JlASTTypeExpr end "List of type annotation infos" TypeAnnInfoList = LinkedList{TypeAnnInfo} "Data returned by `MacroTools.splitdef`" SplitFunDef = Dict{Symbol, Any} #...
Some of the relations between the events are captured based on morpho-syntactic information from their textual expression. Several relations are based on semantic information such as typical event duration while other relations are computed independently based Determining temporal relation types for ...
3.1. Data The ETL methodology described in this work has evolved over a decade of research and employs various CDA subsets from the Estonian National Health Information System. Sending data to this information system has been mandatory for all healthcare service providers in Estonia since 2009 when...
ExtractingTemporalInformationfromOpenDomainText:AComparativeExploration DavidAhn,SisayFissahaAdafre,MaartendeRijke InformaticsInstitute,UniversityofAmsterdam Kruislaan403,1098SJAmsterdam,TheNetherlands ahn,sfissaha,mdr@science.uva.nl ABSTRACT:Theutilityofdata-driventechniquesinthe ...
Information extraction techniques may be used to learn informative clues of subjectivity. Then, by bootstrapping from a lexicon of subjectivity clues, we can build a subjective-objective sentence classifier that does not require annotated data as input. This classifier may then be used to improve ...
Summary: Graphical User Interfaces (GUIs) are typically designed to simplify data entering, data processing and visualization of results. However, GUIs can also be exploited for other purposes. For instance, automatic tools can analyze GUIs to retrieve information about the data that can be processed...