Multilingual Models for Compositional Distributed Semantics

ACL 2014 Karl Moritz HermannPhil Blunsom

We present a novel technique for learning semantic representations, which extends the distributional hypothesis to multilingual data and joint-space embeddings. Our models leverage parallel data and learn to strongly align the embeddings of semantically equivalent sentences, while maintaining sufficient distance between those of dissimilar sentences... (read more)

PDF Abstract ACL 2014 PDF ACL 2014 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Cross-Lingual Document Classification Reuters RCV1/RCV2 English-to-German Bi+ Accuracy 88.1 # 2
Cross-Lingual Document Classification Reuters RCV1/RCV2 German-to-English Bi+ Accuracy 79.2 # 2

Methods used in the Paper


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