56 citations · 56 across the 5 of their papers we have counts for
7 papers
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…
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker +2
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective stren…
Towards a Question Answering System over the Semantic Web
Dennis Diefenbach, Andreas Both, Kamal Singh +1
Thanks to the development of the Semantic Web, a lot of new structured data has become available on the Web in the form of knowledge bases (KBs). Making this valuable data accessib…
REFOCUS: Current & Future Search Interface Requirements for German-speaking Users
Maximilian Speicher, Andreas Both, Martin Gaedke
While smartphones are widely used for web browsing, also other novel devices like Smart TVs become increasingly popular. Yet, current interfaces do not cater for the newly availabl…
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…