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Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Date:
June 2010
Creator:
Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
System:
The UNT Digital Library
Enhancing the Undergraduate Research Experience in a Senior Design Context
This paper discusses enhancing the undergraduate research experience in a senior design context.
Date:
June 2010
Creator:
Attarzadeh, Farrokh; Barbieri, Enrique & Ramos, Miguel
System:
The UNT Digital Library
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.
Date:
June 2010
Creator:
Ceylan, Hakan; Mihalcea, Rada, 1974-; Ozertem, Umut; Lloret, Elena & Palomar, Manuel
System:
The UNT Digital Library
Towards a Domain Independent Semantics: Enhancing Semantic Representation with Construction Grammar
This paper shows results from an investigation whether a classifier can be taught to identify these constructions and consideration of the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses.
Date:
June 2010
Creator:
Hwang, Jena D.; Nielsen, Rodney D. & Palmer, Martha
System:
The UNT Digital Library