Philipp Kuntschik

Orcid: 0000-0001-9770-3279

According to our database1, Philipp Kuntschik authored at least 12 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Building Knowledge Graphs and Recommender Systems for Suggesting Reskilling and Upskilling Options from the Web.
Inf., 2022

Slot Filling for Extracting Reskilling and Upskilling Options from the Web.
Proceedings of the Natural Language Processing and Information Systems, 2022

2021
Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities.
Future Internet, 2021

2020
Optimierung von Unternehmensbewertungen durch automatisierte Wissensidentifikation, -extraktion und -integration.
Inf. Wiss. Prax., 2020

Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion.
CoRR, 2020

2019
Improving Named Entity Linking Corpora Quality.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Name Variants for Improving Entity Discovery and Linking.
Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

Introducing orbis: An extendable evaluation pipeline for named entity linking performance drill-down analyses.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

2018
Mining and Leveraging Background Knowledge for Improving Named Entity Linking.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Framing Named Entity Linking Error Types.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

On the Importance of Drill-Down Analysis for Assessing Gold Standards and Named Entity Linking Performance.
Proceedings of the 14th International Conference on Semantic Systems, 2018

2017
Mitigating linked data quality issues in knowledge-intense information extraction methods.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017


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