no code implementations • sdp (COLING) 2022 • Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard, George Tsatsaronis, Catriona Catriona Fennell, Cyril Labbe
As a test set, the participants are provided with a 5x larger corpus of openly accessible human-written as well as generated papers from the same scientific domains of documents.
1 code implementation • 20 Sep 2023 • Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos, Valeria Krzhizhanovskaya
On PubMed, we closely trail SOTA GNN architectures using a 2-layer GraphSAGE by including additional co-authorship edges in the graph (accuracy 89. 88%).
1 code implementation • WS 2019 • Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Denis Logvinenko, Atanas Atanasov
Pronoun resolution is part of coreference resolution, the task of pairing an expression to its referring entity.
no code implementations • 21 Apr 2015 • Yury Kashnitsky, Sergei O. Kuznetsov
The paper addresses the graph classification problem and introduces a modification of the lazy associative classification method to efficiently handle intersections of graphs.
no code implementations • 21 Apr 2015 • Yury Kashnitsky
Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks.
no code implementations • 21 Apr 2015 • Yury Kashnitsky, Dmitry I. Ignatov
The paper briefly introduces multiple classifier systems and describes a new algorithm, which improves classification accuracy by means of recommendation of a proper algorithm to an object classification.