Paper Info
Title
Nora: A Vocabulary Discovery Tool for Concept Extraction.
Abstract
Coverage of terms in domain-specific terminologies and ontologies is often limited in controlled medical vocabularies. Creating and augmenting such terminologies is resource intensive. We developed Nora as an interactive tool to discover terminology from text corpora; the output can then be employed to refine and enhance natural language processing-based concept extraction tasks. Nora provides a visualization of chains of words foraged from word frequency indexes from a text corpus. Domain experts direct and curate chains that contain relevant terms, which are further curated to identify lexical variants. A test of Nora demonstrated an increase of a domain lexicon in homelessness and related psychosocial factors by 38%, yielding an additional 10% extracted concepts.
Year
DOI
Venue
2015
10.3233/978-1-61499-538-8-179
Studies in Health Technology and Informatics
Keywords
Field
DocType
NLP,Concept Extraction,Vocabulary Discovery
Natural language processing,Artificial intelligence,Concept extraction,Vocabulary,Medicine
Conference
Volume
ISSN
Citations 
213
0926-9630
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Guy Divita113824.59
Marjorie Carter285.52
Begum Durgahee330.73
Warren E. Pettey400.34
Andrew Redd5116.59
Matthew H. Samore614326.07
Adi Gundlapalli74714.74