Alexander Panchenko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
116
Venues
18
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
116 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs. | Nikita Afonin, Nikita Andriyanov, Vahagn Hovhannisyan, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Oleg Rogov, Elena Tutubalina, Alexander Panchenko, Mikhail Seleznyov |
| 2026 | ACL | Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning. | Anna Borisiuk, Andrey V. Savchenko, Alexander Panchenko, Elena Tutubalina |
| 2026 | ACL | The Silence of the Facts: Popularity as a Barrier to Machine Unlearning. | Anna Borisiuk, Andrey V. Savchenko, Alexander Panchenko, Elena Tutubalina |
| 2026 | ACL | DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis. | Lung-Hao Lee, Liang-Chih Yu, Natalia V. Loukachevitch, Ilseyar Alimova, Alexander Panchenko, Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Guangmin Zheng, Jin Wang, Sharanya Awasthi, Jonas Becker, Jan Philip Wahle, Terry Ruas, Shamsuddeen Hassan Muhammad, Saif M. Mohammad |
| 2026 | ACL | Boosting Self-Consistency with Ranking. | Maria Marina, Daniil Moskovskiy, Sergey Pletenev, Mikhail Salnikov, Alexander Panchenko, Viktor Moskvoretskii |
| 2026 | ACL | Fine-Grained Semantic Comparison of Legal Documents using LLMs. | Elisei Rykov, Nikolay Ivanov, Maria Bandulevich, Kseniia Petrushina, Valentin Malykh, Vasily Konovalov, Alexander Panchenko, Ilseyar Alimova |
| 2026 | ACL | Evolutionary Search for Automated Design of Uncertainty Quantification Methods. | Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, Oleg Somov, Alexander Panchenko, Elena Tutubalina |
| 2026 | EACL | Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation. | Julia Belikova, Danila Rozhevskii, Dennis Svirin, Konstantin Polev, Alexander Panchenko |
| 2026 | EACL | Multimodal Evaluation of Russian-language Architectures. | Artem Chervyakov, Ulyana Isaeva, Anton A. Emelyanov, Artem Safin, Maria Tikhonova, Alexander Kharitonov, Yulia Lyakh, Petr Surovtsev, Denis Shevelev, Vildan Saburov, Vasily Konovalov, Elisei Rykov, Ivan Sviridov, Amina Miftakhova, Ilseyar Alimova, Alexander Panchenko, Alexander Kapitanov, Alena Fenogenova |
| 2026 | EACL | Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure. | Dmitrii Topchii, Alexander Panchenko, Viktoria Chekalina |
| 2026 | LREC | The Chronicles of RiDiC: Generating Datasets with Controlled Popularity Distribution for Long-form Factuality Evaluation. | Pavel Braslavski, Dmitrii Iarosh, Nikita Sergeevich Sushko, Andrey Sakhovskiy, Vasily Konovalov, Elena Tutubalina, Alexander Panchenko |
| 2026 | LREC | Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification. | Vitaly Protasov, Nikolay Babakov, Daryna Dementieva, Alexander Panchenko |
| 2026 | SIGIR | SLeDoC: System for Legal Document Comparison. | Elisei Rykov, Nikolay Ivanov, Kseniia Petrushina, Maria Bandulevich, Valentin Malykh, Vasily Konovalov, Alexander Panchenko, Ilseyar Alimova |
| 2026 | SIGIR | FactOWL: A Cost-Efficient Tool for Long-Form Factuality Evaluation. | Andrey Sakhovskiy, Nikita Sushko, Maria Marina, Vasily Konovalov, Elena Tutubalina, Alexander Panchenko, Pavel Braslavski |
| 2025 | ACL | Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. | Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko |
| 2025 | ACL | BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages. | Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufio Cardenas, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Alexander Panchenko, Andrew Piper, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava, Aura Cristina Udrea, Lilian Diana Awuor Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou, Saif M. Mohammad |
| 2025 | ACL | HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation. | Naquee Rizwan, Seid Muhie Yimam, Daryna Dementieva, Florian Skupin, Tim Fischer, Daniil Moskovskiy, Aarushi Ajay Borkar, Robert Geislinger, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee |
| 2025 | AIED | Beyond Detection: Rethinking Education in the Age of AI-Writing. | Maria Marina, Alexander Panchenko, Vasily Konovalov |
| 2025 | COLING | RAGulator: Effective RAG for Regulatory Question Answering. | Islam Aushev, Egor Kratkov, Evgenii Nikolaev, Andrei Glinskii, Vasilii Krikunov, Alexander Panchenko, Vasily Konovalov, Julia Belikova |
| 2025 | COLING | Multilingual and Explainable Text Detoxification with Parallel Corpora. | Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Alekhseevich Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko |
| 2025 | COLING | On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models. | Dmitrii Iarosh, Alexander Panchenko, Mikhail Salnikov |
| 2025 | ECIR | Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. | Janek Bevendorff, Daryna Dementieva, Maik Frbe, Bela Gipp, Andr Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle |
| 2025 | ECIR | RURAGE: Robust Universal RAG Evaluator for Fast and Affordable QA Performance Testing. | Nikita Krayko, Ivan Sidorov, Fedor Laputin, Alexander Panchenko, Daria Galimzianova, Vasily Konovalov |
| 2025 | EMNLP | LLM-Independent Adaptive RAG: Let the Question Speak for Itself. | Maria Marina, Nikolay Ivanov, Sergey Pletenev, Mikhail Salnikov, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii |
| 2025 | EMNLP | Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA. | Sergey Pletenev, Maria Marina, Nikolay Ivanov, Daria Galimzianova, Nikita Krayko, Mikhail Salnikov, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii |
| 2025 | EMNLP | When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA. | Elisei Rykov, Kseniia Petrushina, Maksim Savkin, Valerii Olisov, Artem Vazhentsev, Kseniia Titova, Alexander Panchenko, Vasily Konovalov, Julia Belikova |
| 2025 | EMNLP | When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs. | Mikhail Seleznyov, Mikhail Chaichuk, Gleb Ershov, Alexander Panchenko, Elena Tutubalina, Oleg Somov |
| 2025 | EMNLP | Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. | Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov |
| 2025 | NAACL | SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators. | Daniil Moskovskiy, Nikita Sushko, Sergey Pletenev, Elena Tutubalina, Alexander Panchenko |
| 2025 | NAACL | How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? | Sergey Pletenev, Maria Marina, Daniil Moskovskiy, Vasily Konovalov, Pavel Braslavski, Alexander Panchenko, Mikhail Salnikov |
| 2025 | NAACL | Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images. | Elisei Rykov, Kseniia Petrushina, Kseniia Titova, Anton Razzhigaev, Alexander Panchenko, Vasily Konovalov |
| 2025 | NAACL | SkipCLM: Enhancing Crosslingual Alignment of Decoder Transformer Models via Contrastive Learning and Skip Connection. | Nikita Sushko, Alexander Panchenko, Elena Tutubalina |
| 2025 | NAACL | Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models. | Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov |
| 2025 | NLDB | The Benefits of Query-Based KGQA Systems for Complex and Temporal Questions in LLM Era. | Artem Alekseev, Mikhail Chaichuk, Miron Butko, Alexander Panchenko, Elena Tutubalina, Oleg Somov |
| 2025 | NLDB | Memory Efficient LM Compression Using Fisher Information from Low-Rank Representations. | Daniil Moskovskiy, Sergey Pletenev, Sergey Zagoruyko, Alexander Panchenko |
| 2025 | NLDB | ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs. | Mikhail Salnikov, Andrey Sakhovskiy, Irina Nikishina, Aida Usmanova, Angelie Kraft, Cedric Mller, Debayan Banerjee, Junbo Huang, Longquan Jiang, Rana Abdullah, Xi Yan, Elena Tutubalina, Ricardo Usbeck, Alexander Panchenko |
| 2024 | ACL | Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov |
| 2024 | ACL | MERA: A Comprehensive LLM Evaluation in Russian. | Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton A. Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Anastasia Minaeva, Denis Dimitrov, Alexander Panchenko, Sergey Markov |
| 2024 | ACL | TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks. | Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina |
| 2024 | COLING | Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning. | Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina |
| 2024 | COLING | CAM 2.0: End-to-End Open Domain Comparative Question Answering System. | Ahmad Shallouf, Hanna Herasimchyk, Mikhail Salnikov, Rudy Alexandro Garrido Veliz, Natia Mestvirishvili, Alexander Panchenko, Chris Biemann, Irina Nikishina |
| 2024 | ECIR | Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. | Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Frbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taul, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle |
| 2024 | EMNLP | SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. | Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets |
| 2024 | EMNLP | xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. | Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger |
| 2024 | EMNLP | LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification. | Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko |
| 2024 | NAACL | MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages. | Daryna Dementieva, Nikolay Babakov, Alexander Panchenko |
| 2024 | NLDB | Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. | Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko |
| 2024 | NLDB | S | Elisei Rykov, Egor Malkershin, Alexander Panchenko |
| 2023 | ACL | A System for Answering Simple Questions in Multiple Languages. | Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, Alexander Panchenko |
| 2023 | ACL | Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. | Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov |
| 2023 | ACL | Efficient Out-of-Domain Detection for Sequence to Sequence Models. | Artem Vazhentsev, Akim Tsvigun, Roman Vashurin, Sergey Petrakov, Daniil Vasilev, Maxim Panov, Alexander Panchenko, Artem Shelmanov |
| 2023 | AIST | Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction. | Polina Chernomorchenko, Alexander Panchenko, Irina Nikishina |
| 2023 | AIST | Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. | Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko |
| 2023 | AIST | Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. | zge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko, Chris Biemann |
| 2023 | EMNLP | LM-Polygraph: Uncertainty Estimation for Language Models. | Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov |
| 2023 | EMNLP | Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. | Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov |
| 2023 | IJCNLP | Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification. | Daryna Dementieva, Daniil Moskovskiy, David Dale, Alexander Panchenko |
| 2023 | IJCNLP | Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? | Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin |
| 2023 | IJCNLP | Predicting Terms in IS-A Relations with Pre-trained Transformers. | Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova, Alexander Panchenko, Chris Biemann |
| 2023 | INLG | Error syntax aware augmentation of feedback comment generation dataset. | Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko |
| 2023 | NLDB | Don't Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer. | Nikolay Babakov, David Dale, Ilya Gusev, Irina Krotova, Alexander Panchenko |
| 2023 | PACLIC | Efficient GPT Model Pre-training using Tensor Train Matrix Representation. | Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets |
| 2023 | PACLIC | A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. | Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko |
| 2023 | PACLIC | Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. | Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko |
| 2023 | RANLP | Detecting Text Formality: A Study of Text Classification Approaches. | Daryna Dementieva, Nikolay Babakov, Alexander Panchenko |
| 2022 | ACL | A large-scale computational study of content preservation measures for text style transfer and paraphrase generation. | Nikolay Babakov, David Dale, Varvara Logacheva, Alexander Panchenko |
| 2022 | ACL | MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. | Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko |
| 2022 | ACL | ParaDetox: Detoxification with Parallel Data. | Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, Daniil Moskovskiy, David Dale, Irina Krotova, Nikita Semenov, Alexander Panchenko |
| 2022 | ACL | Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. | Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko |
| 2022 | ACL | Uncertainty Estimation of Transformer Predictions for Misclassification Detection. | Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov |
| 2022 | ECIR | Overview of Touch 2022: Argument Retrieval - Extended Abstract. | Alexander Bondarenko, Maik Frbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen |
| 2022 | EMNLP | Active Learning for Abstractive Text Summarization. | Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov |
| 2022 | IJCNLP | TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment. | Irina Nikishina, Ivan Andrianov, Alsu Vakhitova, Alexander Panchenko |
| 2022 | LREC | RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification. | Nikita Martynov, Irina Krotova, Varvara Logacheva, Alexander Panchenko, Olga Kozlova, Nikita Semenov |
| 2022 | NLDB | Studying the Role of Named Entities for Content Preservation in Text Style Transfer. | Nikolay Babakov, David Dale, Varvara Logacheva, Irina Krotova, Alexander Panchenko |
| 2021 | ACL | Cross-lingual Evidence Improves Monolingual Fake News Detection. | Daryna Dementieva, Alexander Panchenko |
| 2021 | ACL | Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. | Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki |
| 2021 | EACL | Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. | Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko |
| 2021 | EACL | Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. | Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko |
| 2021 | EACL | How Certain is Your Transformer? | Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov |
| 2021 | ECIR | Overview of Touch 2021: Argument Retrieval - Extended Abstract. | Alexander Bondarenko, Lukas Gienapp, Maik Frbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen |
| 2021 | EMNLP | Text Detoxification using Large Pre-trained Neural Models. | David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko |
| 2020 | AIST | RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models. | Elena Chistova, Artem Shelmanov, Dina Pisarevskaya, Maria Kobozeva, Vadim Isakov, Alexander Panchenko, Svetlana Toldova, Ivan V. Smirnov |
| 2020 | COLING | Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. | Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko |
| 2020 | COLING | Studying Taxonomy Enrichment on Diachronic WordNet Versions. | Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch |
| 2020 | DSAA | Fake News Detection using Multilingual Evidence. | Daryna Dementieva, Alexander Panchenko |
| 2020 | ECIR | Touch: First Shared Task on Argument Retrieval. | Alexander Bondarenko, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, Benno Stein |
| 2020 | LREC | 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 |
| 2020 | WSDM | Comparative Web Search Questions. | Alexander Bondarenko, Pavel Braslavski, Michael Vlske, Rami Aly, Maik Frbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen |
| 2019 | ACL | Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings. | Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Khn, Chris Biemann, Alexander Panchenko |
| 2019 | ACL | TARGER: Neural Argument Mining at Your Fingertips. | Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko |
| 2019 | ACL | On the Compositionality Prediction of Noun Phrases using Poincar Embeddings. | Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee |
| 2019 | ACL | Making Fast Graph-based Algorithms with Graph Metric Embeddings. | Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko |
| 2019 | ACL | Improving Neural Entity Disambiguation with Graph Embeddings. | zge Sevgili, Alexander Panchenko, Chris Biemann |
| 2019 | AIST | Noun Compositionality Detection Using Distributional Semantics for the Russian Language. | Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova |
| 2019 | CHIIR | Answering Comparative Questions: Better than Ten-Blue-Links? | Matthias Schildwchter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko |
| 2019 | RANLP | Combining Lexical Substitutes in Neural Word Sense Induction. | Nikolay Arefyev, Boris Sheludko, Alexander Panchenko |
| 2018 | ACL | Unsupervised Semantic Frame Induction using Triclustering. | Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto |
| 2018 | LREC | Enriching Frame Representations with Distributionally Induced Senses. | Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto |
| 2018 | LREC | Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. | Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2018 | LREC | Improving Hypernymy Extraction with Distributional Semantic Classes. | Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2018 | LREC | An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. | Dmitry Ustalov, Denis Teslenko, Alexander Panchenko, Mikhail Chernoskutov, Chris Biemann, Simone Paolo Ponzetto |
| 2017 | ACL | Automatic Induction of Synsets from a Graph of Synonyms. | Dmitry Ustalov, Alexander Panchenko, Chris Biemann |
| 2017 | AIST | Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction. | Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko |
| 2017 | EACL | The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. | Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto |
| 2017 | EACL | Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. | Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2017 | EACL | Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. | Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko |
| 2017 | EMNLP | Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. | Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann |
| 2017 | RANLP | Entity-Centric Information Access with Human in the Loop for the Biomedical Domain. | Seid Muhie Yimam, Steffen Remus, Alexander Panchenko, Andreas Holzinger, Chris Biemann |
| 2016 | ACL | new/s/leak - Information Extraction and Visualization for Investigative Data Journalists. | Seid Muhie Yimam, Heiner Ulrich, Tatiana von Landesberger, Marcel Rosenbach, Michaela Regneri, Alexander Panchenko, Franziska Lehmann, Uli Fahrer, Chris Biemann, Kathrin Ballweg |
| 2016 | AIST | Human and Machine Judgements for Russian Semantic Relatedness. | Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev, Denis Paperno, Natalia Konstantinova, Natalia V. Loukachevitch, Chris Biemann |
| 2016 | LREC | Best of Both Worlds: Making Word Sense Embeddings Interpretable. | Alexander Panchenko |
| 2015 | AIST | Large-Scale Parallel Matching of Social Network Profiles. | Alexander Panchenko, Dmitry Babaev, Sergei A. Obiedkov |
| 2014 | AIST | Detecting Gender by Full Name: Experiments with the Russian Language. | Alexander Panchenko, Andrey Teterin |
| 2013 | ECIR | Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames. | Alexander Panchenko, Richard Beaufort, Hubert Naets, Cdrick Fairon |
| 2013 | ECIR | Serelex: Search and Visualization of Semantically Related Words. | Alexander Panchenko, Pavel Romanov, Olga Morozova, Hubert Naets, Andrey Philippovich, Alexey Romanov, Cdrick Fairon |