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Data · dataset · 2022

biu-nlp/qanom

Listed in Hugging Face Datasets

Description

The dataset contains question-answer pairs to model predicate-argument structure of deverbal nominalizations. The questions start with wh-words (Who, What, Where, What, etc.) and contain a the verbal form of a nominalization from the sentence; the answers are phrases in the sentence. See the paper for details: QANom: Question-Answer driven SRL for Nominalizations (Klein et. al., COLING 2020) For previewing the QANom data along with the verbal annotations of QASRL, check out "browse.qasrl.org/".

This dataset was annotated by selected workers from Amazon Mechanical Turk.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 71%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsbiu-nlp/qanom14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0