activity
20142025
most citedEvaluating topic coherence measures

56 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

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…

cs.SE2025

Post-hoc LLM-Supported Debugging of Distributed Processes

Dennis Schiese, Andreas Both

In this paper, we address the problem of manual debugging, which nowadays remains resource-intensive and in some parts archaic. This problem is especially evident in increasingly c…

cs.CL20251 cited

Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning

Aleksandr Perevalov, Andreas Both

Accessing knowledge via multilingual natural-language interfaces is one of the emerging challenges in the field of information retrieval and related ones. Structured knowledge stor…

cs.IR2021

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…

cs.LG201456 cited

Evaluating topic coherence measures

Frank Rosner, Alexander Hinneburg, Michael Röder +2

Topic models extract representative word sets - called topics - from word counts in documents without requiring any semantic annotations. Topics are not guaranteed to be well inter…