NLPExplorer

Alexander Panchenko

Number of Papers:- 86

Number of Citations:- 47

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

LoResMT

NAACL

SIGDIAL

COLING

BSNLP

EMNLP

TextGraphs

Findings

MMMPIE

RANLP

HumEval

SemEval

knlp

JEP/TALN/RECITAL

GEMS

LREC

GWC

Eval4NLP

Rep4NLP

TeachingNLP

ACL

EACL

WMT

*SEMEVAL

IJCNLP

AACL

INLG

SENSE

Co-Authors:-

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SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection SemEval

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages NAACL

Daryna Dementieva | Nikolay Babakov | Alexander Panchenko |

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks ACL

Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages LoResMT WS

MERA: A Comprehensive LLM Evaluation in Russian ACL

Industry vs Academia: Running a Course on Transformers in Two Setups TeachingNLP WS

TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering TextGraphs WS

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification F i n d i n g s - A C L

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics EMNLP

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers EMNLP

LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification F i n d i n g s - E M N L P

Daniil Moskovskiy | Sergey Pletenev | Alexander Panchenko |

Error syntax aware augmentation of feedback comment generation dataset INLG SIGDIAL

Semantically-Informed Regressive Encoder Score WMT

LM-Polygraph: Uncertainty Estimation for Language Models EMNLP

Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification IJCNLP AACL

Daryna Dementieva | Daniil Moskovskiy | David Dale | Alexander Panchenko |

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation Eval4NLP WS

Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP AACL

Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion EMNLP

A System for Answering Simple Questions in Multiple Languages ACL

Efficient Out-of-Domain Detection for Sequence to Sequence Models F i n d i n g s - A C L

Predicting Terms in IS-A Relations with Pre-trained Transformers F i n d i n g s - I J C N L P

Graph-Enriched Biomedical Language Models: A Research Proposal IJCNLP AACL

Andrey Sakhovskiy | Alexander Panchenko | Elena Tutubalina |

Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks ACL

Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. ACL

Daniil Moskovskiy | Daryna Dementieva | Alexander Panchenko |

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering ACL

A large-scale computational study of content preservation measures for text style transfer and paraphrase generation ACL

Nikolay Babakov | David Dale | Varvara Logacheva | Alexander Panchenko |

Uncertainty Estimation of Transformer Predictions for Misclassification Detection ACL

ParaDetox: Detoxification with Parallel Data ACL

A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification ACL HumEval

SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector Representations NAACL SemEval

Mikhail Kuimov | Daryna Dementieva | Alexander Panchenko |

Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs COLING TextGraphs WS

Irina Nikishina | Alsu Vakhitova | Elena Tutubalina | Alexander Panchenko |

RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification LREC

Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing COLING TextGraphs WS

Pixel-Level BPE for Auto-Regressive Image Generation COLING MMMPIE WS

TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment AACL IJCNLP

Irina Nikishina | Ivan Andrianov | Alsu Vakhitova | Alexander Panchenko |

Active Learning for Abstractive Text Summarization F i n d i n g s - E M N L P

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language EACL

Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company’s Reputation BSNLP EACL

Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions EACL GWC

Irina Nikishina | Natalia Loukachevitch | Varvara Logacheva | Alexander Panchenko |

How Certain is Your Transformer? EACL

Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15) NAACL TextGraphs

Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint Findings

Igor Vorona | Anh-Huy Phan | Alexander Panchenko | Andrzej Cichocki |

Cross-lingual Evidence Improves Monolingual Fake News Detection ACL IJCNLP

Daryna Dementieva | Alexander Panchenko |

SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection ACL IJCNLP SemEval

Text Detoxification using Large Pre-trained Neural Models EMNLP

SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task ACL IJCNLP SemEval

Anton Razzhigaev | Nikolay Arefyev | Alexander Panchenko |

Proceedings of Knowledgeable NLP: the First Workshop on Integrating Structured Knowledge and Neural Networks for NLP AACL knlp

Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs) COLING TextGraphs

Studying Taxonomy Enrichment on Diachronic WordNet Versions COLING

Irina Nikishina | Varvara Logacheva | Alexander Panchenko | Natalia Loukachevitch |

SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection COLING SemEval

Daryna Dementieva | Igor Markov | Alexander Panchenko |

Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution COLING

Nikolay Arefyev | Boris Sheludko | Alexander Podolskiy | Alexander Panchenko |

Word Sense Disambiguation for 158 Languages using Word Embeddings Only LREC

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ACL

Making Fast Graph-based Algorithms with Graph Metric Embeddings ACL

Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings ACL

Improving Neural Entity Disambiguation with Graph Embeddings ACL

Özge Sevgili | Alexander Panchenko | Chris Biemann |

TARGER: Neural Argument Mining at Your Fingertips ACL

Learning Graph Embeddings from WordNet-based Similarity Measures *SEMEVAL

Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction *SEMEVAL

HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings *SEMEVAL

A Dataset for Noun Compositionality Detection for a Slavic Language ACL WS

Dmitry Puzyrev | Artem Shelmanov | Alexander Panchenko | Ekaterina Artemova |

Categorizing Comparative Sentences ACL WS

Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction CL

Dmitry Ustalov | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

Combining Lexical Substitutes in Neural Word Sense Induction RANLP

Nikolay Arefyev | Boris Sheludko | Alexander Panchenko |

Enriching Frame Representations with Distributionally Induced Senses LREC

Stefano Faralli | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages LREC

Improving Hypernymy Extraction with Distributional Semantic Classes LREC

Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl LREC

Unsupervised Semantic Frame Induction using Triclustering ACL

Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation EMNLP

Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL

The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links EACL

Stefano Faralli | Alexander Panchenko | Chris Biemann | Simone Paolo Ponzetto |

Negative Sampling Improves Hypernymy Extraction Based on Projection Learning EACL

Dmitry Ustalov | Nikolay Arefyev | Chris Biemann | Alexander Panchenko |

Watset: Automatic Induction of Synsets from a Graph of Synonyms ACL

Dmitry Ustalov | Alexander Panchenko | Chris Biemann |

Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation SENSE WS

Alexander Panchenko | Stefano Faralli | Simone Paolo Ponzetto | Chris Biemann |

Entity-Centric Information Access with Human in the Loop for the Biomedical Domain RANLP WS

Best of Both Worlds: Making Word Sense Embeddings Interpretable LREC

Alexander Panchenko |

new/s/leak – Information Extraction and Visualization for Investigative Data Journalists ACL

TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling *SEMEVAL

Making Sense of Word Embeddings Rep4NLP WS

Maria Pelevina | Nikolay Arefiev | Chris Biemann | Alexander Panchenko |

Search and Visualization of Semantically Related Words (Recherche et visualisation de mots sémantiquement liés) [in French] JEP/TALN/RECITAL

Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction GEMS WS

Alexander Panchenko |