Papers with mapping methods

3 papers
Analyzing the Limitations of Cross-lingual Word Embedding Mappings (P19-1)

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Challenge: Existing methods for cross-lingual word embeddings have limited results . existing methods require little or no cross-linguistic signal to work .
Approach: They compare offline mapping methods to an extension of skip-gram that jointly learns both embedding spaces.
Outcome: The proposed method yields more isomorphic embeddings, is less sensitive to hubness, and achieves stronger results in bilingual lexicon induction.
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring (2021.acl-long)

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Challenge: Recent research on cross-lingual word embeddings has been dominated by unsupervised mapping approaches that align monolingual embedders.
Approach: They propose an unsupervised mapping approach that fixes fixed embeddings and learns new ones for the source language that are aligned with them.
Outcome: The proposed method outperforms conventional mapping methods on bilingual lexicon induction and obtains competitive results in the downstream XNLI task.
Lexical Resource Mapping via Translations (2022.lrec-1)

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Challenge: a lexical resource associates words with concepts in multiple languages, which makes it difficult to combine information from multiple resources.
Approach: They propose a translation-based approach to mapping lexical resources . they use word-concept pairs to align WordNet/BabelNet to CLICS and OmegaWiki .
Outcome: The proposed method achieves state-of-the-art accuracy without other sources of knowledge . it can be framed as word sense disambiguation, and it can improve on existing methods .

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