About

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

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

TACL 2019 microsoft/recommenders

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

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

SEMEVAL 2017 LuminosoInsight/conceptnet-vector-ensemble

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

4 MULTILINGUAL WORD EMBEDDINGS

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

18 Apr 2020masoudjs/simalign

We find that alignments created from embeddings are superior for four and comparable for two language pairs compared to those produced by traditional statistical aligners, even with abundant parallel data; e. g., contextualized embeddings achieve a word alignment F1 for English-German that is 5 percentage points higher than eflomal, a high-quality statistical aligner, trained on 100k parallel sentences.

MACHINE TRANSLATION MULTILINGUAL WORD EMBEDDINGS WORD ALIGNMENT

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

Bootstrapping Multilingual AMR with Contextual Word Alignments

3 Feb 2021IBM/transition-amr-parser

We develop high performance multilingualAbstract Meaning Representation (AMR) sys-tems by projecting English AMR annotationsto other languages with weak supervision.

MULTILINGUAL WORD EMBEDDINGS WORD ALIGNMENT

Cross-lingual Lexical Sememe Prediction

EMNLP 2018 thunlp/CL-SP

We propose a novel framework to model correlations between sememes and multi-lingual words in low-dimensional semantic space for sememe prediction.

CROSS-LINGUAL SEMEME PREDICTION LEARNING WORD EMBEDDINGS MULTILINGUAL WORD EMBEDDINGS

ALL-IN-1: Short Text Classification with One Model for All Languages

26 Oct 2017bplank/ijcnlp2017-customer-feedback

We present ALL-IN-1, a simple model for multilingual text classification that does not require any parallel data.

MULTILINGUAL TEXT CLASSIFICATION MULTILINGUAL WORD EMBEDDINGS TEXT CLASSIFICATION

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

WS 2019 alirezamshi/AME-CMR

In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages.

CROSS-MODAL RETRIEVAL IMAGE-TO-TEXT RETRIEVAL MULTILINGUAL WORD EMBEDDINGS