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Characterizing Humour: An Exploration of Features in Humorous Texts
This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.
Date:
February 2007
Creator:
Mihalcea, Rada, 1974- & Pulman, Stephen
System:
The UNT Digital Library
XML to Lucene to SRW
Report for an Institute of Museum and Library Sciences (IMLS) Grant Partner Uplift Project. This report documents procedures of parsing XML records into Lucene index and making those records available via SRW.
Date:
February 15, 2007
Creator:
Polyakov, Serhiy
System:
The UNT Digital Library