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Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction ...
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Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.149/ Abstract: Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing an- notations exclusively in some other language, typically English. While the advance of pre- trained multilingual encoders suggests an easy optimism of "train on English, run on any language", we find through a thorough ex- ploration and extension of techniques that a combination of approaches, both new and old, leads to better performance than any one cross- lingual strategy in particular. We explore techniques including data projection and self- training, and how different pretrained encoders impact them. We use English-to-Arabic IE as our initial example, demonstrating strong per- formance in this setting for event extraction, named entity recognition, part-of-speech tag- ging, and dependency parsing. We then apply data projection and self-training to three tasks across eight target languages. ...
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Keyword:
Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://underline.io/lecture/37912-everything-is-all-it-takes-a-multipronged-strategy-for-zero-shot-cross-lingual-information-extraction
https://dx.doi.org/10.48448/v6ha-ye20
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CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models ...
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