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2020 – today
- 2024
[c31]Ivan Sedykh, Nikita Sorokin, Dmitry Abulkhanov, Sergey I. Nikolenko, Valentin Malykh:
Searching by Code: A New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets. LREC/COLING 2024: 14472-14477- [i20]Pavel Tikhonov, Anastasiya Ianina, Valentin Malykh:
SumHiS: Extractive Summarization Exploiting Hidden Structure. CoRR abs/2406.08215 (2024) - 2023
- [j6]Maria Tikhonova
, Vladislav Mikhailov, Dina Pisarevskaya, Valentin Malykh, Tatiana Shavrina:
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task. Nat. Lang. Eng. 29(3): 554-583 (2023) - [j5]Maria Tikhonova, Vladislav Mikhailov, Dina Pisarevskaya, Valentin Malykh, Tatiana Shavrina:
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task - CORRIGENDUM. Nat. Lang. Eng. 29(4): 1198 (2023) - [c30]Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, Alexander Panchenko:
A System for Answering Simple Questions in Multiple Languages. ACL (demo) 2023: 524-537 - [c29]Artem Prisiazhniuk, Valentin Malykh:
User Review Summarization in Russian. AIST (Supplement) 2023: 81-95 - [c28]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. KONVENS 2023: 155-164 - [c27]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. PACLIC 2023: 635-644 - [c26]Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh:
LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. SIGIR 2023: 2098-2102 - [i19]Ivan Sedykh, Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh:
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets. CoRR abs/2305.11625 (2023) - [i18]Nikita Sorokin, Dmitry Abulkhanov, Sergey I. Nikolenko, Valentin Malykh:
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search. CoRR abs/2305.11626 (2023) - [i17]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. CoRR abs/2310.02166 (2023) - [i16]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. CoRR abs/2310.07008 (2023) - 2022
- [c25]Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko:
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. AAAI 2022: 11412-11420 - [c24]Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Alina Dzestelova, Valentin Malykh, Elena Mikhailova, Alexandr Motyko:
Prior Segmentation and Attention Based Approach to Neoplasms Recognition by Single-Channel Monochrome Computer Tomography Snapshots. ICPR Workshops (2) 2022: 561-570 - [c23]Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Alina Dzestelova, Valentin Malykh, Elena Mikhailova, Alexandr Motyko:
The Complete Study of the Movement Strategies of Trained Agents for Visual Descriptors of Advertising Signs. ICPR Workshops (2) 2022: 571-585 - [c22]Nikita Sorokin, Dmitry Abulkhanov, Irina Piontkovskaya, Valentin Malykh:
Ask Me Anything in Your Native Language. NAACL-HLT 2022: 395-406 - [e1]Atul Kr. Ojha, Chao-Hong Liu, Ekaterina Vylomova, Jade Z. Abbott, Jonathan Washington, Nathaniel Oco, Flammie A. Pirinen, Valentin Malykh, Varvara Logacheva, Xiaobing Zhao:
Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages, LoResMT@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - [i15]Alena Fenogenova, Maria Tikhonova, Vladislav Mikhailov, Tatiana Shavrina, Anton A. Emelyanov, Denis Shevelev, Alexander Kukushkin, Valentin Malykh, Ekaterina Artemova:
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models. CoRR abs/2202.07791 (2022) - [i14]Pavel Tikhonov, Valentin Malykh:
WikiMulti: a Corpus for Cross-Lingual Summarization. CoRR abs/2204.11104 (2022) - [i13]Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova, Valentin Malykh, Andrey Bout, Irina Piontkovskaya:
Template-based Approach to Zero-shot Intent Recognition. CoRR abs/2206.10914 (2022) - [i12]Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko:
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. CoRR abs/2206.12514 (2022) - 2021
- [j4]Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko:
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinform. 37(2): 243-249 (2021) - [c21]Tatiana Shavrina, Dina Pisarevskaya, Valentin Malykh:
Building a Bilingual QA-system with ruGPT-3. AIST 2021: 124-136 - [c20]Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
Single Example Can Improve Zero-Shot Data Generation. INLG 2021: 201-211 - [c19]Pavel Burnyshev, Andrey Bout, Valentin Malykh, Irina Piontkovskaya:
InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding. RANLP 2021: 208-215 - [c18]Artur Ilichev, Nikita Sorokin, Irina Piontkovskaya, Valentin Malykh:
Multiple Teacher Distillation for Robust and Greener Models. RANLP 2021: 601-610 - [i11]Valentin Malykh, Alexander Kukushkin, Ekaterina Artemova, Vladislav Mikhailov, Maria Tikhonova, Tatiana Shavrina:
MOROCCO: Model Resource Comparison Framework. CoRR abs/2104.14314 (2021) - [i10]Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
A Single Example Can Improve Zero-Shot Data Generation. CoRR abs/2108.06991 (2021) - [i9]Tatiana Shavrina, Valentin Malykh:
How not to Lie with a Benchmark: Rearranging NLP Leaderboards. CoRR abs/2112.01342 (2021) - 2020
- [j3]Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. J. Intell. Fuzzy Syst. 39(2): 2487-2496 (2020) - [c17]Valentin Malykh, Denis Porplenko, Elena Tutubalina:
Generating Sport Summaries: A Case Study for Russian. AIST 2020: 149-161 - [c16]Aleksei Samarin, Valentin Malykh:
Ensemble-Based Commercial Buildings Facades Photographs Classifier. AIST 2020: 257-265 - [c15]Aleksei Samarin, Valentin Malykh, Sergey Muravyov:
Specialized Image Descriptors for Signboard Photographs Classification. DB&IS 2020: 122-129 - [c14]Valentin Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya:
SumTitles: a Summarization Dataset with Low Extractiveness. COLING 2020: 5718-5730 - [c13]Tatiana Shavrina, Alena Fenogenova, Anton A. Emelyanov, Denis Shevelev, Ekaterina Artemova, Valentin Malykh, Vladislav Mikhailov, Maria Tikhonova, Andrey Chertok, Andrey Evlampiev:
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark. EMNLP (1) 2020: 4717-4726 - [c12]Tatiana Shavrina, Anton A. Emelyanov, Alena Fenogenova, Vadim Fomin, Vladislav Mikhailov, Andrey Evlampiev, Valentin Malykh, Vladimir Larin, Alex Natekin, Aleksandr Vatulin, Peter Romov, Daniil Anastasiev, Nikolai Zinov, Andrey Chertok:
Humans Keep It One Hundred: an Overview of AI Journey. LREC 2020: 2276-2284 - [c11]Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. WSDM 2020: 528-536 - [i8]Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko:
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews. CoRR abs/2004.03659 (2020) - [i7]Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. CoRR abs/2006.09766 (2020) - [i6]Tatiana Shavrina, Alena Fenogenova, Anton A. Emelyanov, Denis Shevelev, Ekaterina Artemova, Valentin Malykh, Vladislav Mikhailov, Maria Tikhonova, Andrey Chertok, Andrey Evlampiev:
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark. CoRR abs/2010.15925 (2020)
2010 – 2019
- 2019
- [c10]Valentin Malykh:
Robust to Noise Models in Natural Language Processing Tasks. ACL (2) 2019: 10-16 - [c9]Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin:
AspeRa: Aspect-Based Rating Prediction Based on User Reviews. WNLP@ACL 2019: 11-13 - [c8]Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko:
Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction. AIST 2019: 166-178 - [c7]Valentin Malykh, Aleksei Samarin:
Combined Advertising Sign Classifier. AIST 2019: 179-185 - [c6]Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh:
Self-attentive Model for Headline Generation. ECIR (2) 2019: 87-93 - [c5]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-Based Rating Prediction Model. ECIR (2) 2019: 163-171 - [i5]Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh:
Self-Attentive Model for Headline Generation. CoRR abs/1901.07786 (2019) - [i4]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-based Rating Prediction Model. CoRR abs/1901.07829 (2019) - [i3]Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). CoRR abs/1902.00098 (2019) - [i2]Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. CoRR abs/1912.11160 (2019) - 2018
- [j2]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Medical concept normalization in social media posts with recurrent neural networks. J. Biomed. Informatics 84: 93-102 (2018) - [c4]Mikhail Burtsev, Alexander V. Seliverstov, Rafael Airapetyan, Mikhail Y. Arkhipov, Dilyara Baymurzina, Nickolay Bushkov, Olga Gureenkova, Taras Khakhulin, Yuri Kuratov, Denis Kuznetsov, Alexey Litinsky, Varvara Logacheva, Alexey Lymar, Valentin Malykh, Maxim Petrov, Vadim Polulyakh, Leonid Pugachev, Alexey Sorokin, Maria Vikhreva, Marat Zaynutdinov:
DeepPavlov: Open-Source Library for Dialogue Systems. ACL (4) 2018: 122-127 - [c3]Valentin Malykh, Varvara Logacheva, Taras Khakhulin:
Robust Word Vectors: Context-Informed Embeddings for Noisy Texts. NUT@EMNLP 2018: 54-63 - [i1]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. CoRR abs/1811.11523 (2018) - 2017
- [c2]Valentin Malykh:
Generalizable Architecture for Robust Word Vectors Tested by Noisy Paraphrases. AIST (Supplement) 2017: 111-121 - 2016
- [c1]Valentin Malykh, Alexey Ozerin:
Reproducing Russian NER Baseline Quality without Additional Data. CDUD@CLA 2016: 54-59 - 2015
- [j1]Elena Tutubalina, Vladimir Ivanov, Mariya Zagulova, Nikita Mingazov, Ilseyar Alimova, Valentin Malykh:
Sentiment classification of reviews and twitter posts based on dictionaries. Russ. Digit. Libr. J. 18(3-4): 138-162 (2015)
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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