RusNLP: Bakarov Amir

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
Did You Just Assume My Vector? Detecting Gender Stereotypes In Word Embeddings	Bakarov Amir	National Research University Higher School of Economics	AIST	2020	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Automated Detection Of Non-Relevant Posts On The Russian Imageboard “2Ch”: Importance Of The Choice Of Word Representations	Bakarov Amir Gureenkova O. A.	Chatme AI LLC, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia	AIST	2017	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Rusnlp: Semantic Search Engine For Russian Nlp Conference Papers	Kutuzov A. B. Bakarov Amir Nikishina I.	University of Oslo, Norway National Research University Higher School of Economics	AIST	2018	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ