Varvara Logacheva

According to our database1, Varvara Logacheva authored at least 38 papers between 2011 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Taxonomy enrichment with text and graph vector representations.
Semantic Web, 2022

Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language.
CoRR, 2022

Studying the Role of Named Entities for Content Preservation in Text Style Transfer.
Proceedings of the Natural Language Processing and Information Systems, 2022

RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

ParaDetox: Detoxification with Parallel Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A large-scale computational study of content preservation measures for text style transfer and paraphrase generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021
Methods for Detoxification of Texts for the Russian Language.
Multimodal Technol. Interact., 2021

Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation.
CoRR, 2021

Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions.
Proceedings of the 11th Global Wordnet Conference, 2021

SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Text Detoxification using Large Pre-trained Neural Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification.
Proceedings of the 2nd Crowd Science Workshop: Trust, 2021

2020
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language.
CoRR, 2020

Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source.
AI Mag., 2020

Word Sense Disambiguation for 158 Languages using Word Embeddings Only.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Studying Taxonomy Enrichment on Diachronic WordNet Versions.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
The Second Conversational Intelligence Challenge (ConvAI2).
CoRR, 2019

MIPT System for World-Level Quality Estimation.
Proceedings of the Fourth Conference on Machine Translation, 2019

Few-shot classification in named entity recognition task.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Findings of the WMT 2018 Shared Task on Quality Estimation.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Robust Word Vectors: Context-Informed Embeddings for Noisy Texts.
Proceedings of the 4th Workshop on Noisy User-generated Text, 2018


2017
Human feedback in Statistical Machine Translation.
PhD thesis, 2017

Findings of the 2017 Conference on Machine Translation (WMT17).
Proceedings of the Second Conference on Machine Translation, 2017

2016
USFD's Phrase-level Quality Estimation Systems.
Proceedings of the First Conference on Machine Translation, 2016


MARMOT: A Toolkit for Translation Quality Estimation at the Word Level.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Phrase Level Segmentation and Labelling of Machine Translation Errors.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Metrics for Evaluation of Word-level Machine Translation Quality Estimation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
SHEF-NN: Translation Quality Estimation with Neural Networks.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Data enhancement and selection strategies for the word-level Quality Estimation.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Findings of the 2015 Workshop on Statistical Machine Translation.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Phrase-level estimation for machine translation.
Proceedings of the 12th International Workshop on Spoken Language Translation: Papers, 2015

The role of artificially generated negative data for quality estimation of machine translation.
Proceedings of the 18th Annual Conference of the European Association for Machine Translation, 2015

2014
A Quality-based Active Sample Selection Strategy for Statistical Machine Translation.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Confidence-based Active Learning Methods for Machine Translation.
Proceedings of the Workshop on Humans and Computer-assisted Translation, 2014

2011
Архитектура рекомендательной системы, работающей на основе неявных пользовательских оценок (Architecture of recommender system with implicit user feedback).
Proceedings of the 13th All-Russian Scientific Conference "Digital libraries: Advanced Methods and Technologies, 2011


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