18 citations · 22 across the 4 of their papers we have counts for
4 papers
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
The rise of Internet has made it a major source of information. Unfortunately, not all information online is true, and thus a number of fact-checking initiatives have been launched…
Transformers: "The End of History" for NLP?
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
Recent advances in neural architectures, such as the Transformer, coupled with the emergence of large-scale pre-trained models such as BERT, have revolutionized the field of Natura…
Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain
Gerhard Wohlgenannt, Ariadna Barinova, Dmitry Ilvovsky +1
Word embeddings are already well studied in the general domain, usually trained on large text corpora, and have been evaluated for example on word similarity and analogy tasks, but…
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry Ilvovsky +2
In this research, we manually create high-quality datasets in the digital humanities domain for the evaluation of language models, specifically word embedding models. The first ste…