Papers by Tobias Eder

2 papers
Evaluating bilingual word embeddings on the long tail (N18-2)

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Challenge: Bilingual word embeddings are useful for bilingual lexicon induction, but they focus on frequent words in general domains.
Approach: They propose to evaluate bilingual word embeddings on rare words in different domains . they propose to use a multilingual dataset to build and combine BWEs based on a single word .
Outcome: The proposed evaluations show that state-of-the-art methods fail on rare words . the proposed evaluation is based on a gold standard dataset and code .
Anchor-based Bilingual Word Embeddings for Low-Resource Languages (2021.acl-short)

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Challenge: Existing approaches to build monolingual word embeddings rely on a cheap bilingual signal and monolingual data.
Approach: They propose a method where the vector space of the high resource source language is used as a starting point for training an embedding space for the low resource target language.
Outcome: The proposed approach improves bilingual lexicon induction performance and target language MWE quality.

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