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JOURNALS // Prikladnaya Diskretnaya Matematika // Archive

Prikl. Diskr. Mat., 2023 Number 59, Pages 111–127 (Mi pdm797)

Mathematical Backgrounds of Intelligent Systems

A generalized dialogue graph construction and visualization based on a corpus of dialogues

P. D. Shtykov, A. G. Dyakonov

Lomonosov Moscow State University, Moscow, Russia

Abstract: A definition of a generalized dialogue graph is proposed to describe the structure of a dialogue in terms of a corpus of homogeneous dialogues. The task of constructing such a graph is relevant in modern conversational artificial intelligence, however, there are few works with meaningful results, often a complete description of the algorithms is not given and the code with the implementation is not published. In the paper, a method for constructing a generalized dialogue graph is proposed, which is implemented in the Python programming language and made publicly available. Experiments were carried out on open data and the results were described.

Keywords: dialogue system, NLP, graph, dialogue graph, clustering, embeddings.

UDC: 519.7

DOI: 10.17223/20710410/59/7



© Steklov Math. Inst. of RAS, 2026