Архитектура рекомендательной системы, работающей на основе неявных пользовательских оценок (Architecture of recommender system with implicit user feedback). - Andrey Fedorovsky; Varvara Logacheva (RCDL, 2011)

Confidence-based Active Learning Methods for Machine Translation. - Varvara Logacheva; Lucia Specia (HaCaT@EACL, 2014)

A Quality-based Active Sample Selection Strategy for Statistical Machine Translation. - Varvara Logacheva; Lucia Specia (LREC, 2014)

The role of artificially generated negative data for quality estimation of machine translation. - Varvara Logacheva; Lucia Specia (EAMT, 2015)

Phrase-level estimation for machine translation. - Varvara Logacheva; Lucia Specia (IWSLT, 2015)

Findings of the 2015 Workshop on Statistical Machine Translation. - Ondrej Bojar; Rajen Chatterjee; Christian Federmann; Barry Haddow; Matthias Huck; Chris Hokamp; Philipp Koehn; Varvara Logacheva; Christof Monz; Matteo Negri; Matt Post; Carolina Scarton; et al. (WMT@EMNLP, 2015)

Data enhancement and selection strategies for the word-level Quality Estimation. - Varvara Logacheva; Chris Hokamp; Lucia Specia (WMT@EMNLP, 2015)

SHEF-NN: Translation Quality Estimation with Neural Networks. - Kashif Shah; Varvara Logacheva; Gustavo Paetzold; Frédéric Blain; Daniel Beck; Fethi Bougares; Lucia Specia (WMT@EMNLP, 2015)

Metrics for Evaluation of Word-level Machine Translation Quality Estimation. - Varvara Logacheva; Michal Lukasik; Lucia Specia (ACL (2), 2016)

Phrase Level Segmentation and Labelling of Machine Translation Errors. - Frédéric Blain; Varvara Logacheva; Lucia Specia (LREC, 2016)

MARMOT: A Toolkit for Translation Quality Estimation at the Word Level. - Varvara Logacheva; Chris Hokamp; Lucia Specia (LREC, 2016)

Findings of the 2016 Conference on Machine Translation. - Ondrej Bojar; Rajen Chatterjee; Christian Federmann; Yvette Graham; Barry Haddow; Matthias Huck; Antonio Jimeno-Yepes; Philipp Koehn; Varvara Logacheva; Christof Monz; Matteo Negri; Aurélie Névéol; et al. (WMT, 2016)

USFD's Phrase-level Quality Estimation Systems. - Varvara Logacheva; Frédéric Blain; Lucia Specia (WMT, 2016)

Findings of the 2017 Conference on Machine Translation (WMT17). - Ondrej Bojar; Rajen Chatterjee; Christian Federmann; Yvette Graham; Barry Haddow; Shujian Huang; Matthias Huck; Philipp Koehn; Qun Liu 001; Varvara Logacheva; Christof Monz; Matteo Negri; et al. (WMT, 2017)

Human feedback in Statistical Machine Translation. - Varvara Logacheva (2017)

DeepPavlov: Open-Source Library for Dialogue Systems. - Mikhail Burtsev 001; Alexander V. Seliverstov; Rafael Airapetyan; Mikhail Y. Arkhipov; Dilyara Baymurzina; Nickolay Bushkov; Olga Gureenkova; Taras Khakhulin; Yuri Kuratov; Denis Kuznetsov; Alexey Litinsky; Varvara Logacheva; et al. (ACL (4), 2018)

Robust Word Vectors: Context-Informed Embeddings for Noisy Texts. - Valentin Malykh; Varvara Logacheva; Taras Khakhulin (NUT@EMNLP, 2018)

Findings of the WMT 2018 Shared Task on Quality Estimation. - Lucia Specia; Frédéric Blain; Varvara Logacheva; Ramón Fernandez Astudillo; André F. T. Martins (WMT (shared task), 2018)

Few-shot classification in named entity recognition task. - Alexander Fritzler; Varvara Logacheva; Maksim Kretov (SAC, 2019)

MIPT System for World-Level Quality Estimation. - Mikhail Mosyagin; Varvara Logacheva (WMT (3), 2019)

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

Studying Taxonomy Enrichment on Diachronic WordNet Versions. - Irina Nikishina; Varvara Logacheva; Alexander Panchenko; Natalia V. Loukachevitch (COLING, 2020)

Word Sense Disambiguation for 158 Languages using Word Embeddings Only. - Varvara Logacheva; Denis Teslenko; Artem Shelmanov; Steffen Remus; Dmitry Ustalov; Andrey Kutuzov; Ekaterina Artemova; Chris Biemann; Simone Paolo Ponzetto; Alexander Panchenko (LREC, 2020)

Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source. - Mikhail Burtsev 001; Varvara Logacheva (AI Mag., 2020)

RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language. - Irina Nikishina; Varvara Logacheva; Alexander Panchenko; Natalia V. Loukachevitch (CoRR, 2020)

Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification. - Daryna Dementieva; Sergey Ustyantsev; David Dale; Olga Kozlova; Nikita Semenov; Alexander Panchenko; Varvara Logacheva (CSW@VLDB, 2021)

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. - Viktoria Chekalina; Alexander Bondarenko 001; Chris Biemann; Meriem Beloucif; Varvara Logacheva; Alexander Panchenko (EACL (System Demonstrations), 2021)

Text Detoxification using Large Pre-trained Neural Models. - David Dale; Anton Voronov; Daryna Dementieva; Varvara Logacheva; Olga Kozlova; Nikita Semenov; Alexander Panchenko (EMNLP (1), 2021)

SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection. - David Dale; Igor Markov; Varvara Logacheva; Olga Kozlova; Nikita Semenov; Alexander Panchenko (SemEval@ACL/IJCNLP, 2021)

Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions. - Irina Nikishina; Natalia V. Loukachevitch; Varvara Logacheva; Alexander Panchenko (GWC, 2021)

Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation. - Nikolay Babakov; Varvara Logacheva; Olga Kozlova; Nikita Semenov; Alexander Panchenko (CoRR, 2021)

Methods for Detoxification of Texts for the Russian Language. - Daryna Dementieva; Daniil Moskovskiy; Varvara Logacheva; David Dale; Olga Kozlova; Nikita Semenov; Alexander Panchenko (Multimodal Technol. Interact., 2021)

A large-scale computational study of content preservation measures for text style transfer and paraphrase generation. - Nikolay Babakov; David Dale; Varvara Logacheva; Alexander Panchenko (ACL (student), 2022)

ParaDetox: Detoxification with Parallel Data. - Varvara Logacheva; Daryna Dementieva; Sergey Ustyantsev; Daniil Moskovskiy; David Dale; Irina Krotova; Nikita Semenov; Alexander Panchenko (ACL (1), 2022)

RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification. - Nikita Martynov; Irina Krotova; Varvara Logacheva; Alexander Panchenko; Olga Kozlova; Nikita Semenov (LREC, 2022)

Studying the Role of Named Entities for Content Preservation in Text Style Transfer. - Nikolay Babakov; David Dale; Varvara Logacheva; Irina Krotova; Alexander Panchenko (NLDB, 2022)

Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language. - Nikolay Babakov; Varvara Logacheva; Alexander Panchenko (CoRR, 2022)

Taxonomy enrichment with text and graph vector representations. - Irina Nikishina; Mikhail Tikhomirov; Varvara Logacheva; Yuriy Nazarov; Alexander Panchenko; Natalia V. Loukachevitch (Semantic Web, 2022)

Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements. - Nikolay Babakov; Varvara Logacheva; Alexander Panchenko (Lang. Resour. Evaluation, 2024)