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ORCIDEvgeny V. Kotelnikov
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- affiliation: Vyatka State University, Kirov, Russia
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Journal Articles
- 2023
[j5]Anastasia Kotelnikova, Sergey V. Vychegzhanin
, Evgeny V. Kotelnikov:
Cross-Domain Sentiment Analysis Based on Small in-Domain Fine-Tuning. IEEE Access 11: 41061-41074 (2023)- 2021
- [j4]Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
A New Method for Stance Detection Based on Feature Selection Techniques and Ensembles of Classifiers. IEEE Access 9: 134899-134915 (2021) - 2019
- [j3]Elena V. Razova, Evgeny V. Kotelnikov:
Concentration Areas of Sentiment Lexica in the Word Embedding Space. Int. J. Cogn. Informatics Nat. Intell. 13(2): 48-62 (2019) - [j2]Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Stance Detection Based on Ensembles of Classifiers. Program. Comput. Softw. 45(5): 228-240 (2019) - 2015
- [j1]Pavel Blinov, Evgeniy V. Kotelnikov:
Semantic similarity for aspect-based sentiment analysis. Russ. Digit. Libr. J. 18(3-4): 120-137 (2015)
Conference and Workshop Papers
- 2023
- [c12]Sergey V. Vychegzhanin, Anastasia Kotelnikova, Alexander Sergeev, Evgeny V. Kotelnikov:
Controllable Story Generation Based on Perplexity Minimization. AIST 2023: 154-169 - 2021
- [c11]Elena V. Razova, Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Does BERT Look at Sentiment Lexicon? AIST (Supplement) 2021: 55-67 - [c10]Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Lexicon-Based Methods vs. BERT for Text Sentiment Analysis. AIST 2021: 71-83 - 2019
- [c9]Irina Fishcheva, Evgeny V. Kotelnikov:
Cross-Lingual Argumentation Mining for Russian Texts. AIST 2019: 134-144 - [c8]Sergey V. Vychegzhanin, Elena V. Razova, Evgeny V. Kotelnikov, Vladimir R. Milov:
Selecting an Optimal Feature Set for Stance Detection. AIST 2019: 242-253 - [c7]Sergey V. Vychegzhanin, Elena V. Razova, Evgeniy V. Kotelnikov:
What Number of Features is Optimal: A New Method Based on Approximation Function for Stance Detection Task. ICICM 2019: 43-47 - 2018
- [c6]Elena V. Razova, Evgeny V. Kotelnikov:
The Arrangement of Sentiment Lexica in the Space of Distributed Word Representations. ICCI*CC 2018: 240-245 - 2017
- [c5]Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Stance Detection in Russian: a Feature Selection and Machine Learning Based Approach. AIST (Supplement) 2017: 166-177 - 2016
- [c4]Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez Zafra, Gülsen Eryigit:
SemEval-2016 Task 5: Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 19-30 - 2015
- [c3]Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Pavel Blinov:
Types of Aspect Terms in Aspect-Oriented Sentiment Labeling. BSNLP@RANLP 2015: 90-95 - 2014
- [c2]Pavel Blinov, Eugeny V. Kotelnikov:
Blinov: Distributed Representations of Words for Aspect-Based Sentiment Analysis at SemEval 2014. SemEval@COLING 2014: 140-144 - 2012
- [c1]Maria Klekovkina, Eugeny V. Kotelnikov:
Метод автоматической классификации текстов по тональности, основанный на словаре эмоциональной лексики (The Automatic Sentiment Text Classification Method Based on Emotional Vocabulary). RCDL 2012: 81-86
Informal and Other Publications
- 2024
- [i9]Valeriya Goloviznina, Evgeny V. Kotelnikov:
I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering. CoRR abs/2406.02060 (2024) - 2022
- [i8]Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian. CoRR abs/2206.09248 (2022) - [i7]Evgeny V. Kotelnikov, Natalia V. Loukachevitch, Irina Nikishina, Alexander Panchenko:
RuArg-2022: Argument Mining Evaluation. CoRR abs/2206.09249 (2022) - [i6]Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Argumentative Text Generation in Economic Domain. CoRR abs/2206.09251 (2022) - [i5]Valeriya Goloviznina, Evgeny V. Kotelnikov:
Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods. CoRR abs/2206.09253 (2022) - 2021
- [i4]Evgeny V. Kotelnikov:
Current Landscape of the Russian Sentiment Corpora. CoRR abs/2106.14434 (2021) - [i3]Irina Fishcheva, Valeriya Goloviznina, Evgeny V. Kotelnikov:
Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts. CoRR abs/2106.14438 (2021) - [i2]Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Lexicon-based Methods vs. BERT for Text Sentiment Analysis. CoRR abs/2111.10097 (2021) - [i1]Elena V. Razova, Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Does BERT look at sentiment lexicon? CoRR abs/2111.10100 (2021)
Coauthor Index
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