RusNLP: Hewlett-Packard Labs Russia

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
Extracting Product Features From Reviews With The Use Of Internet Statistics	Marchuk A. A. Ulanov A. V. Chugreev A. A. Makeev I. V.	Hewlett-Packard Labs Russia Saint-Petersburg State University, Saint-Petersburg, Russia Peter the Great St.Petersburg Polytechnic University, St.Petersburg, Russia ITMO University, Saint-Petersburg, Russia	Dialogue	2013	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Context-Dependent Opinion Lexicon Translation With The Use Of A Parallel Corpus	Ulanov A. V. Sapozhnikov G. A.	Hewlett-Packard Labs Russia Saint-Petersburg State University, Saint-Petersburg, Russia	Dialogue	2013	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Frames Revisited: Automatic Extraction Of Semantic Patterns From A Natural Text	Filatov Alexander Kotov A. A. Zinina A. A. Arinkin N. A. Zaydelman Lyudmila	Russian State University for the Humanities, Moscow, Russia Hewlett-Packard Labs Russia National Research Centre “Kurchatov Institute”, Moscow, Russia	Dialogue	2018	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов