Local word embeddings for query expansion based on co-authorship and citations

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Local word embeddings for query expansion based on co-authorship and citations

© Copyright 2018 for the individual papers by the papers' authors. Word embedding techniques have gained a lot of interest from natural language processing researchers recently and they are valuable resource in identifying a list of semantically related terms for a search query. These related t...

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Bibliographic Details
Main Authors:	Rattinger, A., Le Goff, J., Guetl, Christian
Format:	Conference Paper
Published:	2018
Online Access:	http://hdl.handle.net/20.500.11937/66959

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