Neural Vector Spaces for Unsupervised Information Retrieval

9 Aug 2017Christophe Van GyselMaarten de RijkeEvangelos Kanoulas

We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval. In the NVSM paradigm, we learn low-dimensional representations of words and documents from scratch using gradient descent and rank documents according to their similarity with query representations that are composed from word representations... (read more)

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