3 citations · 11 across the 9 of their papers we have counts for
13 papers
Taxonomy Enrichment with Text and Graph Vector Representations
Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva +3
Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with the hy…
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura +6
In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it co…
Studying Taxonomy Enrichment on Diachronic WordNet Versions
Irina Nikishina, Alexander Panchenko, Varvara Logacheva +1
Ontologies, taxonomies, and thesauri are used in many NLP tasks. However, most studies are focused on the creation of these lexical resources rather than the maintenance of the exi…
Improving Results on Russian Sentiment Datasets
Anton Golubev, Natalia Loukachevitch
In this study, we test standard neural network architectures (CNN, LSTM, BiLSTM) and recently appeared BERT architectures on previous Russian sentiment evaluation datasets. We comp…
Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision
Nicolay Rusnachenko, Natalia Loukachevitch
In the sentiment attitude extraction task, the aim is to identify <<attitudes>> -- sentiment relations between entities mentioned in text. In this paper, we provide a study on atte…
Studying Attention Models in Sentiment Attitude Extraction Task
Nicolay Rusnachenko, Natalia Loukachevitch
In the sentiment attitude extraction task, the aim is to identify <<attitudes>> -- sentiment relations between entities mentioned in text. In this paper, we provide a study on atte…