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Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications
Mark-Christoph Mueller
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Paper Details:
Month: 23 May
Year: 2019
Location: Gothenburg, Sweden
Venue:
IWCS |
WS |
SIG: SIGSEM
Citations
URL
No Citations Yet
https://www.nextgenscience.org
https://www.sciencebuddies.org
https://github.com/HongyuGong/Document-Similarity-via-Hidden-Topics
https://code.google.com/archive/p/word2vec/
https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.en.300.bin.gz
https://github.com/nlpAThits/TopNCosSimAvg
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Approach
Deep Learning
Language
Multilingual
English