Papers by Martin Gerlach

2 papers
An Open Multilingual System for Scoring Readability of Wikipedia (2024.acl-long)

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Challenge: Existing studies on the readability of Wikipedia have focused on English only and there are currently no systems supporting automatic readability assessment of the 300+ languages in Wikipedia.
Approach: They propose a multilingual model to assess Wikipedia's readability using a dataset spanning 14 languages.
Outcome: The proposed model outperforms existing models in a zero-shot scenario and is more accurate than previous benchmarks.
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia (2024.emnlp-main)

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Challenge: a new task for entity insertion in information networks is needed to integrate entities into multilingual linked corpora . text spans in the source and target entities are not available to insert a link to the target entity . a benchmark dataset in 105 languages is used to study the problem of entity inserted in information systems .
Approach: They propose a framework for entity insertion that integrates entities into linked corpora . they compile a benchmark dataset in 105 languages and test it in a zero-shot manner .
Outcome: The proposed framework outperforms baseline models on languages not seen during training with minimal performance drop.

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