There are a large number of tasks for which keyphrases can be useful. Manually identifying keyphrases can be a tedious and time consuming process that requires expertise, but if automated could save time and aid in creating metadata that could be used to locate knowledge sources. In this paper, the authors present an automated process for keyphrase extraction from email messages. The process enables users to find other people who might hold the knowledge they require from information communicated via the email system. The effectiveness of the extraction system is tested and compared against other extraction systems and the overall value of extracting information from email explored
© Springer International Publishing AG 2017. Extracting keyphrases from documents automatically is a...
Keyphrases that efficiently summarize a document’s content are used in various document processing a...
A journal article is often accompanied by a list of keyphrases, composed of about five to fifteen im...
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes...
Increasing number of documents in the Web caused the growth of needs for tools supporting automatic ...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Keyphrases are an important means of document summarization, clustering, and topic search. Only a sm...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
The keyphrases of a document are the textual units that characterize its content such as the topics ...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categori...
Doctor of PhilosophyDepartment of Computer ScienceCornelia CarageaDoina CarageaScholarly digital lib...
Abstract Extracting keyphrases from documents automatically is an important and interesting task sin...
The keyphrase extraction task is a fundamental and challenging task designed to automatically extrac...
© Springer International Publishing AG 2017. Extracting keyphrases from documents automatically is a...
Keyphrases that efficiently summarize a document’s content are used in various document processing a...
A journal article is often accompanied by a list of keyphrases, composed of about five to fifteen im...
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes...
Increasing number of documents in the Web caused the growth of needs for tools supporting automatic ...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Keyphrases are an important means of document summarization, clustering, and topic search. Only a sm...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
The keyphrases of a document are the textual units that characterize its content such as the topics ...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Prospective readers can quickly determine whether a document is relevant to their information need i...
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categori...
Doctor of PhilosophyDepartment of Computer ScienceCornelia CarageaDoina CarageaScholarly digital lib...
Abstract Extracting keyphrases from documents automatically is an important and interesting task sin...
The keyphrase extraction task is a fundamental and challenging task designed to automatically extrac...
© Springer International Publishing AG 2017. Extracting keyphrases from documents automatically is a...
Keyphrases that efficiently summarize a document’s content are used in various document processing a...
A journal article is often accompanied by a list of keyphrases, composed of about five to fifteen im...