You limited your search to:

 Resource Type: Paper
 Collection: UNT Scholarly Works
An Algorithm for Open Text Semantic Parsing

An Algorithm for Open Text Semantic Parsing

Date: August 2004
Creator: Shi, Lei & Mihalcea, Rada, 1974-
Description: This paper describes an algorithm for open text shallow semantic parsing.
Contributing Partner: UNT College of Engineering
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire goo 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.
Contributing Partner: UNT College of Engineering
Analyzing the Persistence of Referenced Web Resources with Memento

Analyzing the Persistence of Referenced Web Resources with Memento

Date: June 2011
Creator: Sanderson, Robert; Phillips, Mark Edward & Van de Sompel, Herbert
Description: Paper presenting the results of a study into the persistence and availability of web resources reference from papers in scholarly repositories.
Contributing Partner: UNT Libraries
Anchor Nodes Placement for Effective Passive Localization

Anchor Nodes Placement for Effective Passive Localization

Date: 2011
Creator: Akl, Robert G.; Pasupathy, Karthikeyan & Haidar, Mohamad
Description: This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Contributing Partner: UNT College of Engineering
Answering complex, list and context questions with LCC's Question-Answering Server

Answering complex, list and context questions with LCC's Question-Answering Server

Date: November 2001
Creator: Harabagiu, Sanda M.; Moldovan, Dan I.; Paşca, Marius. 1974-; Surdeanu, Mihai; Mihalcea, Rada, 1974-; Gîrju, Corina R. et al.
Description: This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations.
Contributing Partner: UNT College of Engineering
Applying User-Centered Design Principles to Redesign the Interface to the Portal to Texas History: The IOGENE Project

Applying User-Centered Design Principles to Redesign the Interface to the Portal to Texas History: The IOGENE Project

Date: May 2010
Creator: Murray, Kathleen R. & Belden, Dreanna
Description: This paper discusses applying user-centered design principles to redesign The Portal to Texas History, as part of the IOGENE project at the University of North Texas (UNT) Libraries.
Contributing Partner: UNT Libraries
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Date: July 2005
Creator: Nguyen, Son & Akl, Robert G.
Description: This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Contributing Partner: UNT College of Engineering
Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Date: September 2008
Creator: Zavalina, Oksana; Palmer, Carole L.; Jackson, Amy S. & Han, Myung-Ja
Description: This paper discusses assessing descriptive substance in free-text collection-level metadata. This paper reports on a content analysis of collection records in an aggregation of cultural heritage collections.
Contributing Partner: UNT College of Information
Assessing Metadata Utilization: An Analysis of MARC Content Designation Use

Assessing Metadata Utilization: An Analysis of MARC Content Designation Use

Date: 2003
Creator: Moen, William E. & Benardino, Penelope
Description: This paper discusses metadata utilization. This paper reports results of an analysis of a large sample of MARC 21 bibliographic records.
Contributing Partner: UNT College of Information
Assessment: We know we should do it but does it have to be so difficult?

Assessment: We know we should do it but does it have to be so difficult?

Date: August 2008
Creator: Byerly, Gayla & Downey, Annie
Description: This paper discusses assessment in library instruction programs.
Contributing Partner: UNT Libraries