«Leveraging Deep Neural Networks And Semantic Similarity Measures For Medical Concept Normalisation In User Reviews»

Miftahutdinov Z. Sh.; Tutubalina E. V.;
Kazan (Volga Region) Federal University, Kazan, Russia;

Dialogue, 2018

Paper title	Paper author	Affiliation	Conference	Year	Similarity	Tasks
Identifying Disease-Related Expressions In Reviews Using Conditional Random Fields	Miftahutdinov Z. Sh. Tropsha A. E. Tutubalina E. V.	Kazan (Volga Region) Federal University, Kazan, Russia University of North Carolina, Chapel Hill, USA	Dialogue	2017	0.9889	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Interactive Attention Network For Adverse Drug Reaction Classification	Solovev V. D. Alimova I. C.	Kazan (Volga Region) Federal University, Kazan, Russia	AINL	2018	0.9878	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Semantic Feature Aggregation For Gender Identification In Russian Facebook	Panicheva P. V. Mirzagitova Aliia Ledovaya Yanina	Saint-Petersburg State University, Saint-Petersburg, Russia	AINL	2017	0.9873	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction	Nikolenko Sergey Tutubalina E. V. Shenbin I. Alekseev Anton Malyh V. A.	Neuromation OU Samsung-PDMI Joint AI Center Kazan (Volga Region) Federal University, Kazan, Russia Moscow Institute of Physics and Technology, Moscow, Russia	AIST	2019	0.9863	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Deep Recurrent Neural Networks For Multiple Language Aspect-Based Sentiment Analysis Of User Reviews	Tarasov D. S.	Reviewdot research, Kazan, Russia	Dialogue	2015	0.9849	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Language Models For Unsupervised Acquisition Of Medical Knowledge From Natural Language Texts: Application For Diagnosis Prediction	Tarasov D. S. Matveeva T. Galiullina N.	Meanotek, Kazan, Russia	Dialogue	2019	0.9838	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование
Biomedical Entities Impact On Rating Prediction For Psychiatric Drugs	Alimova I. C. Solovev V. D. Tutubalina E. V.	Samsung-PDMI Joint AI Center Kazan (Volga Region) Federal University, Kazan, Russia	AIST	2019	0.9838	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Pretraining And Augmentation In Named Entity Recognition Task For Cybersecurity Domain In Russian(The Research Was Supported By Russian Science Foundation (Project No. 20-11-20166). Computational Experiments Were Carried Out Using The Equipment Of The Shared Research Facilities Of Hpc Computing Resources At Lomonosov Moscow State University. )	Sirotina A. Yu. Dobrov B. V. Loukachevitch N. V. Tikhomirov M. M.	Lomonosov Moscow State University, Moscow, Russia	Dialogue	2020	0.9835	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Multiple Features For Multiword Extraction: A Learning-To-Rank Approach	Tutubalina E. V. Braslavski P. I.	Kazan (Volga Region) Federal University, Kazan, Russia Ural Federal University, Yekaterinburg, Russia	Dialogue	2016	0.9834	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Application Of A Hybrid Bi-Lstm-Crf Model To The Task Of Russian Named Entity Recognition	Burtsev M. S. Arkhipov M. Y. Anh L. T.	Vietnam Maritime University, Hai Phong, Viet Nam Moscow Institute of Physics and Technology, Moscow, Russia	AINL	2017	0.9834	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов