Cross-Lingual Document Classification
12 papers with code • 10 benchmarks • 2 datasets
Cross-lingual document classification refers to the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve classification tasks in another, commonly low-resource, language.
Latest papers
Multilingual Models for Compositional Distributed Semantics
We present a novel technique for learning semantic representations, which extends the distributional hypothesis to multilingual data and joint-space embeddings.
Multilingual Distributed Representations without Word Alignment
Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP.