Vasiliy Yadrintsev

• Peoples' Friendship University of Russia

This paper describes our participation in the first shared task on Automatic Taxonomy Construction for the Russian language RUSSE’2020. The goal of this task is the following: input words (neologisms that are not yet included in the taxonomy) need to be associated with the appropriate hypernyms from an existing taxonomy. For example, for the input...

This article is dedicated to stacking of two approaches of patent classification. First is based on linguistically-supported k-nearest neighbors algorithm using the method of search for topically similar documents based on a comparison of vectors of lexical descriptors. Second is the word embeddings based fastText, where the sentence (or a document...

This article presents a new approach to large scale patent classification. The need to classify documents often takes place in professional information retrieval systems. In this paper we describe our approach, based on linguistically-supported k-nearest neighbors. We experimentally evaluate it on the Russian and English datasets and compare modern...

Goal-oriented conversational agents are systems able converse with humans using natural language to help them reach a certain goal. The number of goals (or domains) about which an agent could converse is limited, and one of the issues is to identify whether a user talks about the unknown domain (in order to report a misunderstanding or switch to ch...