Search Results for author: Sergey Nikolenko

Found 18 papers, 8 papers with code

Topological Data Analysis for Speech Processing

no code implementations30 Nov 2022 Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey Nikolenko, Evgeny Burnaev

We apply topological data analysis (TDA) to speech classification problems and to the introspection of a pretrained speech model, HuBERT.

Topological Data Analysis

Personality-Driven Social Multimedia Content Recommendation

no code implementations25 Jul 2022 Qi Yang, Sergey Nikolenko, Alfred Huang, Aleksandr Farseev

In order to run organic and paid social media marketing efficiently, it is necessary to understand the audience, tailoring the content to fit their interests and online behaviours, which is impossible to do manually at a large scale.

Marketing Recommendation Systems

Near-Zero-Shot Suggestion Mining with a Little Help from WordNet

no code implementations25 Nov 2021 Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey Nikolenko

In this work, we explore the constructive side of online reviews: advice, tips, requests, and suggestions that users provide about goods, venues, services, and other items of interest.

Suggestion mining

Towards General Purpose Geometry-Preserving Single-View Depth Estimation

1 code implementation25 Sep 2020 Mikhail Romanov, Nikolay Patatkin, Anna Vorontsova, Sergey Nikolenko, Anton Konushin, Dmitry Senyushkin

Our work shows that a model trained on this data along with conventional datasets can gain accuracy while predicting correct scene geometry.

Monocular Depth Estimation Scene Understanding

Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification

no code implementations17 Jun 2020 Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey Nikolenko

Deep learning architectures based on self-attention have recently achieved and surpassed state of the art results in the task of unsupervised aspect extraction and topic modeling.

Aspect Extraction General Classification

CommentsRadar: Dive into Unique Data on All Comments on the Web

no code implementations16 Aug 2019 Sergey Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded

We introduce an entity-centric search engineCommentsRadarthatpairs entity queries with articles and user opinions covering a widerange of topics from top commented sites.

Free-Lunch Saliency via Attention in Atari Agents

1 code implementation7 Aug 2019 Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey Nikolenko

We show experimentally that a network with an FLS module exhibits performance similar to the baseline (i. e., it is "free", with no performance cost) and can be used as a drop-in replacement for reinforcement learning agents.

Decision Making reinforcement-learning +1

AspeRa: Aspect-Based Rating Prediction Based on User Reviews

no code implementations WS 2019 Elena Tutubalina, Valentin Malykh, Sergey Nikolenko, Anton Alekseev, Ilya Shenbin

We propose a novel Aspect-based Rating Prediction model (AspeRa) that estimates user rating based on review texts for the items.

Aspect Extraction

Large-Scale Transfer Learning for Natural Language Generation

1 code implementation ACL 2019 Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alex Tselousov, er, Thomas Wolf

Large-scale pretrained language models define state of the art in natural language processing, achieving outstanding performance on a variety of tasks.

Open-Domain Dialog Pretrained Language Models +2

Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts

no code implementations28 Nov 2018 Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, Valentin Malykh

In this work, we consider the medical concept normalization problem, i. e., the problem of mapping a disease mention in free-form text to a concept in a controlled vocabulary, usually to the standard thesaurus in the Unified Medical Language System (UMLS).

Medical Concept Normalization Semantic Similarity +1

Cannot find the paper you are looking for? You can Submit a new open access paper.