RusNLP: Ovchinnikova I. 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.

Show advanced filters

Conferences:

Years (since-till):

Paper author: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Affiliation: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Paper title: ?You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character) to find titles with specific words

Number of results:

Paper title	Paper author	Affiliation	Conference	Year	Tasks
Query Expansion In Information Retrieval: What Can We Learn From A Deep Analysis Of Queries?	Ermakova L. M. Mot Zh. Ovchinnikova I. G.	Perm National Research University Institut de Recherche en Informatique de Toulouse	Dialogue	2014	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ