Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Deryle Lonsdale"'
'Much of the original impetus for this book results from the Conference on Analogical Modeling of the Language, held at Brigham Young University on 22-24 March 2000'--Introd.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030883577
ER (Workshops)
ER (Workshops)
Enriching ontologies can measurably enhance research in digital curation. We support this claim by using an enriched ontology to address a well known, challenging problem: record linkage of historical records for intergenerational family reconstituti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c06f31f30bd50003ff2b6a9af1c214e0
https://doi.org/10.1007/978-3-030-88358-4_6
https://doi.org/10.1007/978-3-030-88358-4_6
Autor:
Stephen W. Liddle, Joseph Price, Deryle Lonsdale, Scott N. Woodfield, David W. Embley, Tanner S. Eastmond
Publikováno v:
Conceptual Modeling Perspectives ISBN: 9783319672700
Conceptual Modeling Perspectives
Conceptual Modeling Perspectives
Family Tree is a wiki-like shared repository of interconnected family genealogies. Because information ingested into the tree requires human authorization as verified in source documents, ingest is tedious and time-consuming. To significantly increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f28ad502e3e5a962c9c0c58c3f176cff
https://doi.org/10.1007/978-3-319-67271-7_6
https://doi.org/10.1007/978-3-319-67271-7_6
Autor:
Deryle Lonsdale, Kristian S. Heal, Robbie Haertel, Paul Felt, Eric K. Ringger, Kevin D. Seppi
Publikováno v:
Language Resources and Evaluation. 48:561-599
Machine assistance is vital to managing the cost of corpus annotation projects. Identifying effective forms of machine assistance through principled evaluation is particularly important and challenging in under-resourced domains and highly heterogene
Autor:
Deryle Lonsdale, Françoise Kusseling
Publikováno v:
The Canadian Modern Language Review. 69:436-461
The French CEFR vocabulary profiles as presented in the R eferentiels – while a valuable resource for a wide range of applications focused on lexical content – result from introspection, intuition-based judgements, and unquantifiable experience.
Autor:
Christopher Almquist, Tae Woo Kim, David W. Embley, Stephen W. Liddle, Scott N. Woodfield, Deryle Lonsdale
Publikováno v:
Conceptual Modeling ISBN: 9783319463964
ER
ER
Automatically extracted data is rarely “clean” with respect to pragmatic (real-world) constraints—which thus hinders applications that depend on quality data. We proffer a solution to detecting pragmatic constraint violations that works via a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8333ff6c054191d3ccd1a0414464a704
https://doi.org/10.1007/978-3-319-46397-1_16
https://doi.org/10.1007/978-3-319-46397-1_16
Autor:
Paul Huff, Deryle Lonsdale
Publikováno v:
Language Dynamics and Change. 1:128-162
Several methods for determining a numerical distance between languages have been proposed in the literature. In this paper we implement one of them, the ALINE distance. We also develop a methodology for comparing its results with other language dista
Publikováno v:
Data & Knowledge Engineering. 69:318-330
Realizing the Semantic Web involves creating ontologies, a tedious and costly challenge. Reuse can reduce the cost of ontology engineering. Semantic Web ontologies can provide useful input for ontology reuse. However, the automated reuse of such onto
Publikováno v:
Data & Knowledge Engineering. 66:3-17
This paper introduces a system that processes clinical trials using a combination of natural language processing and database techniques. We process web-based clinical trial recruitment pages to extract semantic information reflecting eligibility cri
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
Machine reading is a relatively new field that features computer programs designed to read flowing text and extract fact assertions expressed by the narrative content. This task involves two core technologies: natural language processing (NLP) and in