Dimension Reduction for Short Text Similarity and its Applications
Recently, due to the burst of online text data, much of the focus of natural language processing (NLP) research has shifted from long documents to shorter ones such as sentences and utterances. However, short texts posit significant challenges from an NLP perspective especially if the goal is to ge...
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| Language: | English |
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2015
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| Online Access: | https://doi.org/10.7916/D80Z72C3 |