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biu-nlp/Multilingual_QASem_Datasets

89 downloads in 30 days0 likesLast modified 10 May 2026View on Hugging Face
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The checks could not identify a recognised licence ID for at least one declared source dataset.

Declared licence
cc-by-4.0, from the tagEvidence: README.md at ebff6ee
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No licence file at the top level of the repositoryEvidence: file list at ebff6ee
Declared sources
1
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biu-nlp/Multilingual_QASem_Datasetsbiu-nlp/Multilingua…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗Universal Dependencies: not found on the HubUniversal Dep…not found on the …nothing to open
biu-nlp/Multilingual_QASem_Datasetsbiu-nlp/Multili…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗Universal Dependencies: not found on the HubUniversal Dep…not found on the …nothing to open
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Citation text from the card

@inproceedings{davidov-etal-2026-effective,
    title = "Effective {QA}-Driven Annotation of Predicate{--}Argument Relations Across Languages",
    author = "Davidov, Jonathan  and
      Slobodkin, Aviv  and
      Klein, Shmuel Tomi  and
      Tsarfaty, Reut  and
      Dagan, Ido  and
      Klein, Ayal",
    editor = "Demberg, Vera  and
      Inui, Kentaro  and
      Marquez, Llu{\'i}s",
    booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.eacl-long.112/",
    doi = "10.18653/v1/2026.eacl-long.112",
    pages = "2484--2502",
    ISBN = "979-8-89176-380-7",
    abstract = "Explicit representations of predicate-argument relations form the basis of interpretable semantic analysis, supporting reasoning, generation, and evaluation. However, attaining such semantic structures requires costly annotation efforts and has remained largely confined to English. We leverage the Question-Answer driven Semantic Role Labeling (QA-SRL) framework {---} a natural-language formulation of predicate-argument relations {---} as the foundation for extending semantic annotation to new languages. To this end, we introduce a cross-linguistic projection approach that reuses an English QA-SRL parser within a constrained translation a

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dataset_licence({ "id": "biu-nlp/Multilingual_QASem_Datasets" })
signal: "unclear"
stated_licence: "cc-by-4.0"
sources: 1