All datasets / biu-nlp
biu-nlp/Multilingual_QASem_Datasets
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
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at ebff6ee
- Declared sources
- 1
- Access gated on Hugging Face
- No
Sources listed in the card metadata
- Universal Dependenciesnot foundUnclear
Tasks
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