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Enhanced Paragraph Vector Model for Ad-hoc Retrieval

posted Feb 2, 2018, 8:41 AM by Qingyao Ai   [ updated Mar 4, 2018, 2:28 PM ]
Incorporating topic level estimation into language models has been shown to be beneficial for information retrieval (IR) models such as cluster-based retrieval and LDA-based document representation. Neural embedding models, such as paragraph vector (PV) models, on the other hand have shown their effectiveness and efficiency in learning semantic representations of documents and words in multiple Natural Language Processing (NLP) tasks. In this work, we study how to effectively use the PV model to improve ad-hoc retrieval. [SIGIR'16] [ICTIR'16] [code]
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