Papers by Cristina Arhiliuc

2 papers
Language Proficiency Scoring (2020.lrec-1)

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Challenge: a new paper evaluates and extends the results of an automated proficiency classification system for different languages.
Approach: They propose to extend an automated essay scoring system proposed by CEFR . they compare results with those from previous paper and add a new corpus for english .
Outcome: The proposed approach does not scale well with the added English corpus.
MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch (2026.findings-acl)

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Challenge: Recent advances in embedding resources have led to a lack of representation of the Dutch language in multilingual resources.
Approach: They introduce Massive Text Embedding Benchmark for Dutch (MTEB-NL) which includes existing Dutch datasets and newly created ones, covering a wide range of tasks.
Outcome: The proposed models demonstrate strong performance across multiple tasks.

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