TY  - CHAP
U1  - Buchbeitrag
A1  - Hagen, Thora
A1  - Jannidis, Fotis
A1  - Witt, Andreas
ED  - Andrews, Tara
ED  - Diehr, Franziska
ED  - Efer, Thomas
ED  - Kuczera, Andreas
ED  - van Zundert, Joris
T1  - Word sense alignment and disambiguation for historical encyclopedias
T2  - Graphs and Networks in the Humanities 2022. Technologies, Models, Analyses, and Visualizations. 6th International Conference, 3. – 4. February 2022, Online.
N2  - This paper will address the challenge of creating a knowledge graph from a corpus of historical encyclopedias with a special focus on word sense alignment (WSA) and disambiguation (WSD). More precisely, we examine WSA and WSD approaches based on article similarity to link messy historical data, utilizing Wikipedia as aground-truth component – as the lack of a critical overlap in content paired with the amount of variation between and within the encyclopedias does not allow for choosing a ”baseline” encyclopedia to align the others to. Additionally, we are comparing the disambiguation performance of conservative methods like the Lesk algorithm to more recent approaches, i.e. using language models to disambiguate senses.
KW  - Semasiologie
KW  - Enzyklopädie
KW  - Wissensgraph
KW  - Korpus <Linguistik>
KW  - Wikipedia
KW  - Computerlinguistik
KW  - word sense alignment
KW  - disambiguation
KW  - historical encyclopedias
Y1  - 2021
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-109834
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-109834
UR  - https://graphentechnologien.hypotheses.org/files/2022/01/Word_Sense_Alignment_and_Disambiguation_for_Historical_etc-Hagen_Jannidis_Witt.pdf
SP  - 7
S1  - 7
PB  - Graphen & Netzwerke; AG des Verbandes Digital Humanities im deutschsprachigen Raum e.V.
CY  - Gießen
ER  -