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Data · dataset · 2022

NLM WSD

Listed in Hugging Face Datasets

In order to support research investigating the automatic resolution of word sense ambiguity using natural language processing techniques, we have constructed this test collection of medical text in which the ambiguities were resolved by hand.

Description

Evaluators were asked to examine instances of an ambiguous word and determine the sense intended by selecting the Metathesaurus concept (if any) that best represents the meaning of that sense.

The test collection consists of 50 highly frequent ambiguous UMLS concepts from 1998 MEDLINE. Each of the 50 ambiguous cases has 100 ambiguous instances randomly selected from the 1998 MEDLINE citations. For a total of 5,000 instances.

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We had a total of 11 evaluators of which 8 completed 100% of the 5,000 instances, 1 completed 56%, 1 completed 44%, and the final evaluator completed 12% of the instances. Evaluations were only used when the evaluators completed all 100 instances for a given ambiguity.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Natural language processing 79% · Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsbigbio/nlm_wsd15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:field:460208enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (79%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0