NLPExplorer

Alexander Panchenko

Number of Papers:- 37

Number of Citations:- 47

First ACL Paper:- 2011

Latest ACL Paper:- 2020

Venues:-

COLING

SENSE

AACL

Rep4NLP

TextGraphs

EMNLP

JEP/TALN/RECITAL

ACL

knlp

GEMS

RANLP

EACL

*SEMEVAL

LREC

SemEval

Co-Authors:-

Similar Authors:-

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 |

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 |

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 |