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Found 9 papers, 2 papers with code
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
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.
Ranked #1 on
Knowledge Base Question Answering
on QALD-9-Plus
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust.
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features
In our work, we address the research problem of how the QA quality of a given system can be improved just by evaluating the natural-language input (i. e., the user's question) and output (i. e., the system's answer).
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed.
Template-Based Question Answering over Linked Geospatial Data
We give a detailed description of the system's architecture, its underlying algorithms, and its evaluation using a set of 201 natural language questions.
Towards a Question Answering System over the Semantic Web
It is able to query several KBs simultaneously, in different languages, and can easily be ported to other KBs and languages.
NIF4OGGD - NLP Interchange Format for Open German Governmental Data
In the last couple of years the amount of structured open government data has increased significantly.
N\mbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format
Extracting Linked Data following the Semantic Web principle from unstructured sources has become a key challenge for scientific research.
Evaluating topic coherence measures
Topic models extract representative word sets - called topics - from word counts in documents without requiring any semantic annotations.
