Results 11 to 20 of about 53,363 (347)

Infusing Knowledge from Wikipedia to Enhance Stance Detection [PDF]

open access: yesWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2022
Stance detection infers a text author’s attitude towards a target. This is challenging when the model lacks background knowledge about the target. Here, we show how background knowledge from Wikipedia can help enhance the performance on stance detection.
Zihao He   +2 more
semanticscholar   +1 more source

Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2021
Human activities can be seen as sequences of events, which are crucial to understanding societies. Disproportional event distribution for different demographic groups can manifest and amplify social stereotypes, and potentially jeopardize the ability of ...
Jiao Sun, Nanyun Peng
semanticscholar   +1 more source

El carácter enciclopédico de Wikipedia en español: aproximación a sus contenidos sobre Ciencias y Humanidades

open access: yesÁrea Abierta, 2021
Partiendo de la dimensión enciclopédica de Wikipedia –marcada por la amplitud, variedad y ordenación sistemática de sus contenidos–, esta investigación busca identificar los campos de conocimiento presentes en ella y analizar cuantitativamente esa ...
José Mario Fernández Montes   +3 more
doaj   +1 more source

Wikipedia page views for health research: a review

open access: yesFrontiers in Big Data, 2023
Wikipedia is an open-source online encyclopedia and one of the most-read sources of online health information. Likewise, Wikipedia page views have also been analyzed to inform public health services and policies.
Rowalt Alibudbud
doaj   +1 more source

Analyzing Wikipedia Citations to Iranian English-language Journals approved by the Iranian Ministry of Science, Research and Technology [PDF]

open access: yesعلوم و فنون مدیریت اطلاعات, 2022
Objectives: This research aimed to investigate Wikipedia citations to the Iranian English-language journals approved by the Iranian Ministry of Science, Research and Technology (MSRT).
Hamidreza Davoudi, Alireza Noruzi
doaj   +1 more source

Politics of evidence: Think tanks and the Academies Act

open access: yesBritish Educational Research Journal, Volume 48, Issue 6, Page 1232-1253, December 2022., 2022
Abstract Previous research has identified political ideology as central in the landmark Academies Act (2010). This article further analyses how politics of evidence played its part in the policy process by focusing on long‐term structural changes and preferences among policymakers. The article draws on policymaker interviews after the reform, a mapping
Jaakko Kauko
wiley   +1 more source

Defying easy categorization: Wikipedia as primary, secondary and tertiary resource

open access: yesInsights: The UKSG Journal, 2023
Wikipedia is the world’s largest information source, used daily by millions of individuals around the world – yet such is its uniqueness and dominance that rarely is the question asked: what exactly is Wikipedia?
Caroline Ball
doaj   +1 more source

Reading Wikipedia to Answer Open-Domain Questions [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2017
This paper proposes to tackle open-domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.
Danqi Chen   +3 more
semanticscholar   +1 more source

Ms. Categorized: Gender, notability, and inequality on Wikipedia

open access: yesNew Media & Society, 2021
Gender is one of the most pervasive and insidious forms of inequality. For example, English-language Wikipedia contains more than 1.5 million biographies about notable writers, inventors, and academics, but less than 19% of these biographies are about ...
F. Tripodi
semanticscholar   +1 more source

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia [PDF]

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2019
We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 96 languages, including several dialects or low-resource languages.
Holger Schwenk   +4 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy