2 citations · 2 across the 5 of their papers we have counts for
6 papers
Towards LLM-generated explanations for Component-based Knowledge Graph Question Answering Systems
Dennis Schiese, Aleksandr Perevalov, Andreas Both
Over time, software systems have reached a level of complexity that makes it difficult for their developers and users to explain particular decisions made by them. In this paper, w…
SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova +1
Nowadays, the importance of software with natural-language user interfaces cannot be underestimated. In particular, in Question Answering (QA) systems, generating a SPARQL query fo…
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck +1
The ability to have the same experience for different user groups (i.e., accessibility) is one of the most important characteristics of Web-based systems. The same is true for Know…
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
Aleksandr Perevalov, Xi Yan, Liubov Kovriguina +3
Data-driven systems need to be evaluated to establish trust in the scientific approach and its applicability. In particular, this is true for Knowledge Graph (KG) Question Answerin…
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features
Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova +1
Software with natural-language user interfaces has an ever-increasing importance. However, the quality of the included Question Answering (QA) functionality is still not sufficient…
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system
Aleksandr Perevalov, Daniil Kurushin, Rustam Faizrakhmanov +1
Question-answering systems and voice assistants are becoming major part of client service departments of many organizations, helping them to reduce the labor costs of staff. In man…