RusNLP: Fedorenko D. G.

Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

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Paper title	Paper author	Affiliation	Conference	Year	Tasks
Automatic Enrichment Of Informal Ontology By Analyzing A Domain Specific Text Collection	Fedorenko D. G. Turdakov D. Astrahantsev N. A.	Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia	Dialogue	2014	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика