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Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
Lidia Federica Mazzitelli – Language Documentation & Conservation, 2020
This paper provides an introduction to Lakurumau, a previously undescribed and undocumented Oceanic language of Papua New Guinea. The first part of the paper is a guide to the Lakurumau documentation corpus, deposited in the ELAR archive. The participants and the content of the deposit, the technology used for recording, and the ethical protocols…
Descriptors: Foreign Countries, Indonesian Languages, Native Language, Language Classification
Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
Bountouri, Lina; Gergatsoulis, Manolis – Journal of Archival Organization, 2011
In this article we analyze the main semantics of archival description, expressed through Encoded Archival Description (EAD). Our main target is to map the semantics of EAD to the CIDOC Conceptual Reference Model (CIDOC CRM) ontology as part of a wider integration architecture of cultural heritage metadata. Through this analysis, it is concluded…
Descriptors: Archives, Metadata, Semantics, Classification
Gapinski, Mary Ann; Sheetz, Anne H. – Journal of School Nursing, 2014
The National Association of School Nurses' research priorities include the recommendation that data reliability, quality, and availability be addressed to advance research in child and school health. However, identifying a national school nursing data set has remained a challenge for school nurses, school nursing leaders, school nurse professional…
Descriptors: School Nurses, Data Collection, Documentation, Administration
Clapp, Marlene; Young, Michael – College and University, 2010
Bridgewater State University (BSU) is a public institution that falls under the Carnegie classification of Master's Colleges and Universities. BSU is committed to serving students in the New England region. This student population includes a sizeable number of underrepresented students. BSU is dealing with intense pressure to serve these students…
Descriptors: Undergraduate Students, Institutional Research, Identification, Classification
Library of Congress, 2008
While this Report is presented to the Library of Congress, it situates recommendations to the Library in the broader context of the environment in which the Library does and could function. Thus, the Report discusses and makes recommendations not only to the Library, but also to other current and potential participants in this environment. The…
Descriptors: Library Materials, Libraries, Cataloging, Library Services

Heine, M. H. – Journal of Documentation, 1995
Proposes a new rule system and notation that supports the characterization of a document based on its structure or architecture (primarily linear, paper-copy media). Examples of the application of the notation are provided. (Author/JKP)
Descriptors: Classification, Coding, Documentation, Indexing

Constas, Mark A. – American Educational Research Journal, 1992
A framework is presented to document the process of category development. This two-dimensional model designed to facilitate the documentation of procedures used to generate categories specifies components associated with the development of categories and addresses the temporal aspects of category development. A study of preservice teachers…
Descriptors: Classification, College Students, Documentation, Higher Education

Langham, Thomas – Journal of Documentation, 1995
Argues for precision (consistency) in citing, proposing an approach to citation analysis that ranks citation-signallers according to usefulness. Suggests that it is misguided to classify citation-signallers by the nature of the motivations inferred to underlie their use. (JKP)
Descriptors: Citation Analysis, Citation Indexes, Citations (References), Classification

Atkinson, Ross – College and Research Libraries, 1989
Argues that collection development systems need to exert greater control over scholarly and educational information if the systems are to adapt to changing technical and economic conditions. Steps toward increased control should include categorization of sources and access by function, ongoing definition of a title-specific core, and the…
Descriptors: Academic Libraries, Access to Information, Classification, Documentation
Gilchrist, Alan, Ed. – 1997
This set of papers offers insights into some of the major developments in the field of classification and knowledge organization, and highlights many of the fundamental changes in views and theories which have taken place during the last 40 years. This document begins with a series of reminiscences from former delegates of the first International…
Descriptors: Abstracting, Access to Information, Cataloging, Classification