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08/17/2023
Don't lose the message while paraphrasing: A study on content preserving style transfer
Text style transfer techniques are gaining popularity in natural languag...
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06/05/2023
Efficient GPT Model Pre-training using Tensor Train Matrix Representation
Large-scale transformer models have shown remarkable performance in lang...
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05/01/2023
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval
In this paper, we present a submission to the Touche lab's Task 2 on Arg...
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01/09/2023
Active Learning for Abstractive Text Summarization
Construction of human-curated annotated datasets for abstractive text su...
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11/25/2022
Multiverse: Multilingual Evidence for Fake News Detection
Misleading information spreads on the Internet at an incredible speed, w...
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06/20/2022
Studying the role of named entities for content preservation in text style transfer
Text style transfer techniques are gaining popularity in Natural Languag...
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06/18/2022
RuArg-2022: Argument Mining Evaluation
Argumentation analysis is a field of computational linguistics that stud...
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06/07/2022
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
Lexical substitution, i.e. generation of plausible words that can replac...
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06/05/2022
Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models
Detoxification is a task of generating text in polite style while preser...
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04/22/2022
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering
Knowledge Graphs (KGs) are symbolically structured storages of facts. Th...
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04/19/2022
Detecting Text Formality: A Study of Text Classification Approaches
Formality is an important characteristic of text documents. The automati...
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03/04/2022
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language
Toxicity on the Internet, such as hate speech, offenses towards particul...
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01/21/2022
Taxonomy Enrichment with Text and Graph Vector Representations
Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a ...
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09/18/2021
Text Detoxification using Large Pre-trained Neural Models
We present two novel unsupervised methods for eliminating toxicity in te...
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05/19/2021
Methods for Detoxification of Texts for the Russian Language
We introduce the first study of automatic detoxification of Russian text...
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03/09/2021
Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation
Not all topics are equally "flammable" in terms of toxicity: a calm disc...
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01/20/2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
Annotating training data for sequence tagging tasks is usually very time...
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11/23/2020
Studying Taxonomy Enrichment on Diachronic WordNet Versions
Ontologies, taxonomies, and thesauri are used in many NLP tasks. However...
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05/31/2020
Neural Entity Linking: A Survey of Models based on Deep Learning
In this survey, we provide a comprehensive description of recent neural ...
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05/29/2020
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
Lexical substitution in context is an extremely powerful technology that...
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05/22/2020
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language
This paper describes the results of the first shared task on taxonomy en...
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03/14/2020
Word Sense Disambiguation for 158 Languages using Word Embeddings Only
Disambiguation of word senses in context is easy for humans, but is a ma...
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09/21/2019
Efficient estimation of a Gromov--Hausdorff distance between unweighted graphs
Gromov--Hausdorff distances measure shape difference between the objects...
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06/17/2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings
The computation of distance measures between nodes in graphs is ineffici...
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06/07/2019
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
The compositionality degree of multiword expressions indicates to what e...
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06/05/2019
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
We introduce the use of Poincaré embeddings to improve existing state-of...
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05/05/2019
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
We present our system for semantic frame induction that showed the best ...
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01/15/2019
Answering Comparative Questions: Better than Ten-Blue-Links?
We present CAM (comparative argumentative machine), a novel open-domain ...
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09/17/2018
Unsupervised Sense-Aware Hypernymy Extraction
In this paper, we show how unsupervised sense representations can be use...
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09/17/2018
Categorization of Comparative Sentences for Argument Mining
We present the first work on domain-independent comparative argument min...
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08/23/2018
Sentiment Index of the Russian Speaking Facebook
A sentiment index measures the average emotional level in a corpus. We i...
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08/20/2018
Local-Global Graph Clustering with Applications in Sense and Frame Induction
We present Watset, a new meta-algorithm for fuzzy graph clustering. This...
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08/16/2018
Learning Graph Embeddings from WordNet-based Similarity Measures
We present a new approach for learning graph embeddings, that relies on ...
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05/23/2018
How much does a word weigh? Weighting word embeddings for word sense induction
The paper describes our participation in the first shared task on word s...
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05/12/2018
Unsupervised Semantic Frame Induction using Triclustering
We use dependency triples automatically extracted from a Web-scale corpu...
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04/27/2018
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages
In this paper, we present Watasense, an unsupervised system for word sen...
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04/13/2018
Neologisms on Facebook
In this paper, we present a study of neologisms and loan words frequentl...
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03/15/2018
Enriching Frame Representations with Distributionally Induced Senses
We introduce a new lexical resource that enriches the Framester knowledg...
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03/15/2018
RUSSE: The First Workshop on Russian Semantic Similarity
The paper gives an overview of the Russian Semantic Similarity Evaluatio...
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03/15/2018
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
The paper describes the results of the first shared task on word sense i...
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12/23/2017
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics
We present an approach to combining distributional semantic representati...
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11/08/2017
Improving Hypernymy Extraction with Distributional Semantic Classes
In this paper, we show for the first time how distributionally-induced s...
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10/04/2017
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
We present DepCC, the largest to date linguistically analyzed corpus in ...
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08/31/2017
Human and Machine Judgements for Russian Semantic Relatedness
Semantic relatedness of terms represents similarity of meaning by a nume...
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08/30/2017
Fighting with the Sparsity of Synonymy Dictionaries
Graph-based synset induction methods, such as MaxMax and Watset, induce ...
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08/10/2017
Making Sense of Word Embeddings
We present a simple yet effective approach for learning word sense embed...
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07/21/2017
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Interpretability of a predictive model is a powerful feature that gains ...
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07/12/2017
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
We present a new approach to extraction of hypernyms based on projection...
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04/24/2017
