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Data · dataset · 2022

biu-nlp/qa_align

Listed in Hugging Face Datasets

This dataset contains QA-Alignments - annotations of cross-text content overlap.

Description

The task input is two sentences from two documents, roughly talking about the same event, along with their QA-SRL annotations which capture verbal predicate-argument relations in question-answer format. The output is a cross-sentence alignment between sets of QAs which denote the same information.

See the paper for details: QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions, Brook Weiss et. al., EMNLP 2021. Here we provide both the QASRL annotations and the QA-Align annotations for the target sentences.

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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/qa_align12 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