Anna Glazkova

Orcid: 0000-0001-8409-6457

According to our database1, Anna Glazkova authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian.
CoRR, 2024

2023
A comparison of text preprocessing techniques for hate and offensive speech detection in Twitter.
Soc. Netw. Anal. Min., December, 2023

Cross-Domain Robustness of Transformer-based Keyphrase Generation.
CoRR, 2023

tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis.
CoRR, 2023

tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection Using XLM-T, Google Translate, and Ensemble Learning.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Data Augmentation for Fake News Detection by Combining Seq2seq and NLI.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2022
Applying Transformer-based Text Summarization for Keyphrase Generation.
CoRR, 2022

Detecting generated scientific papers using an ensemble of transformer models.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Fine-tuning of Pre-trained Transformers for Hate Offensive and Profane Content Detection in English and Marathi.
Proceedings of the Working Notes of FIRE 2021, 2021

g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification.
CoRR, 2020

UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Exploring Book Themes in the Russian Age Rating System: a Topic Modeling Approach.
Proceedings of the Supplementary Proceedings of the XXII International Conference on Data Analytics and Management in Data Intensive Domains, 2020

A Comparative Study of Feature Types for Age-Based Text Classification.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019
UTMN at HAHA@IberLEF2019: Recognizing Humor in Spanish Tweets using Hard Parameter Sharing for Neural Networks.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

A Comparison of Algorithms for Detection of "Figurativeness" in Metaphor, Irony and Puns.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
Russian Person Names Recognition Using the Hybrid Approach.
Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

2017
Automatic Compilation of Person's Information Portraits as an Instrument of Historical Research.
Proceedings of the Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27, 2017


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