Papers with Multilingual Language Model

2 papers
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations (D19-1)

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Challenge: Existing approaches to cross-lingual sequence labeling require bilingual resources and require linguistic knowledge.
Approach: They propose a multilingual language model with deep semantic Alignment to generate language-independent representations for cross-lingual sequence labeling.
Outcome: The proposed model achieves state-of-the-art NER and POS performance across European languages and on distant language pairs such as English and Chinese.
Event Extraction in Basque: Typologically Motivated Cross-Lingual Transfer-Learning Analysis (2024.lrec-main)

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Challenge: Using a multilingual language model, Event Extraction tasks require humans to follow complicated guidelines and follow complicated rules.
Approach: They propose a multilingual multilingual language model that is trained in a source language and applied to a target language.
Outcome: The proposed model is based on a multilingual event extraction dataset for Basque . it shows that the shared linguistic characteristic between source and target languages does have an impact on transfer quality.

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