Learning Neural Representation for CLIR with Adversarial Framework

EMNLP 2018 Bo LiPing Cheng

The existing studies in cross-language information retrieval (CLIR) mostly rely on general text representation models (e.g., vector space model or latent semantic analysis). These models are not optimized for the target retrieval task... (read more)

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