4 citations · 7 across the 6 of their papers we have counts for
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A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data
Gerhard Wohlgenannt, Dmitry Mouromtsev, Dmitry Pavlov +2
With the growing number and size of Linked Data datasets, it is crucial to make the data accessible and useful for users without knowledge of formal query languages. Two approaches…
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…
Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata
Gerhard Wohlgenannt, Nikolay Klimov, Dmitry Mouromtsev +3
One of the big challenges in Linked Data consumption is to create visual and natural language interfaces to the data usable for non-technical users. Ontodia provides support for di…