Word sense alignment and disambiguation for historical encyclopedias

Buchbeitrag

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.

Angaben zum Objekt

• Sprache: Englisch

Klassifikation und Themen

• Thema: Semasiologie ; Enzyklopädie ; Wissensgraph ; Korpus <Linguistik> ; Wikipedia ; Computerlinguistik ; Sprache

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hagen, Thora ; Jannidis, Fotis ; Witt, Andreas
• Ereignis: Veröffentlichung
• (wer): Gießen : Graphen & Netzwerke; AG des Verbandes Digital Humanities im deutschsprachigen Raum e.V. ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
• (wann): 2022-03-24

Weitere Informationen

• URN: urn:nbn:de:bsz:mh39-109834
• Letzte Aktualisierung: 06.03.2025, 09:00 MEZ