Texts

X-SRL

Introduced in X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset

About this Dataset

SRL is the task of extracting semantic predicate-argument structures from sentences. X-SRL is a multilingual parallel Semantic Role Labelling (SRL) corpus for English (EN), German (DE), French (FR) and Spanish (ES) that is based on English gold annotations and shares the same labelling scheme across languages.

Source: https://github.com/Heidelberg-NLP/xsrl_mbert_aligner Image Source: Daza et al

Source: X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset

Dataset Variants

X-SRL

Papers1

X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset

This work proposes a method to automatically construct an SRL corpus that is parallel in four languages: English, French, German, Spanish, with unified predicate and role annotations that are fully comparable across languages.

Dataset Loaders

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Heidelberg-NLP/xsrl_mbert_aligner

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Tasks

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Machine Translation Semantic Role Labeling

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