Papers with Wikidata knowledge base

2 papers
WebIE: Faithful and Robust Information Extraction on the Web (2023.acl-long)

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Challenge: Existing closed IE datasets are built using Wikipedia, but they have limitations when applied to web domains.
Approach: They propose to annotate 25K triples from WebIE through crowdsourcing and introduce mWebIE, a translation of the annotated set in four other languages.
Outcome: The proposed model trains on 1.6M sentences from the English Common Crawl corpus and includes negative examples to better reflect the data on the web.
WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models (2024.lrec-main)

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Challenge: Factual update is a task of inserting, replacing, or removing facts in large language models.
Approach: They present a dataset that describes the evolution of factual knowledge between two dates as a collection of simple facts divided into three categories: new, obsolete, and static.
Outcome: The proposed dataset compares the state of the Wikidata knowledge base at 4 January 2021 and 27 February 2023.

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