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Multilingual Word Embeddings

5 papers with code · Methodology

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ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

SEMEVAL 2017 commonsense/conceptnet-numberbatch

This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet.

MULTILINGUAL WORD EMBEDDINGS

Massively Multilingual Word Embeddings

5 Feb 2016idiap/mhan

We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space.

MULTILINGUAL WORD EMBEDDINGS TEXT CATEGORIZATION

Unsupervised Multilingual Word Embeddings

EMNLP 2018 ccsasuke/umwe

Multilingual Word Embeddings (MWEs) represent words from multiple languages in a single distributional vector space.

MULTILINGUAL WORD EMBEDDINGS

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

TACL 2019 anoopkunchukuttan/geomm

Our approach decouples learning the transformation from the source language to the target language into (a) learning rotations for language-specific embeddings to align them to a common space, and (b) learning a similarity metric in the common space to model similarities between the embeddings.

MULTILINGUAL WORD EMBEDDINGS