Language independent semantic kernels for short-text classification

•Kernels for short-text classification without language dependencies were proposed.•Three levels of annotations were used for precise calculation of semantic similarity.•The performances were evaluated by using real-world English and Korean datasets. Short-text classification is increasingly used in...

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Veröffentlicht in:	Expert systems with applications 2014-02, Vol.41 (2), p.735-743
Hauptverfasser:	Kim, Kwanho, Chung, Beom-suk, Choi, Yerim, Lee, Seungjun, Jung, Jae-Yoon, Park, Jonghun
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Classification Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Expert systems Kernel method Kernels Language independent semantic kernel Memory organisation. Data processing Performance enhancement Semantics Short-text document classification Similarity Similarity measure Software Speech and sound recognition and synthesis. Linguistics Tags
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