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The paper's second contribution is an LLM-based system, also called "SPINACH", that on the authors' own dataset outperforms all baselines, including the best GPT-4-based KBQA agent by a large margin, and also achiev[es] a new state of the art on several existing KBQA benchmarks, although on it narrowly remains behind the aforementioned WikiSP model on the WikiWebQuestions dataset (both also ...
Yes, it comes with various biases (which, as already indicated in the review, one can try to correct after the fact using various means, see e.g. our earlier coverage here of an important 2012 paper which did this regarding editors: "Survey participation bias analysis: More Wikipedia editors are female, married or parents than previously ...
Reviewed by Isaac Johnson "What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions" by Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, and Pierre Vandergheynst of EPFL, published at WikiWorkshop as part of The Web Conference 2020, examines what topics trend on Wikipedia (i.e. attract high numbers of pageviews) and how these trending topics ...
The WMF authors concluded their 2019 paper by expressing the hope that "it lays the groundwork for exploring more standardized methods of predicting trends such as page views on Wikipedia with the goal of understanding the effect of external events." In contrast, the present paper starts out with a fairly crude statistical method. First,
In that paper, the researchers perform a series of analyses of Wikipedia, including visualizations of article growth using their HistoryFlow visualization platform, in order to understand how Wikipedia editors coordinate their activities around content production, curation, and quality control. Their analysis revealed that between 2003 and 2005 ...
Overall, the paper presents some interesting statistical data on trends in an understudied community, and contributes to our understanding of the governance of Wikipedia. The analysis of the received data is however rather lacking, particularly through weak ties to literature on leadership, volunteer motivation and related social science areas.
An undergraduate computer science honors thesis at Trinity University (Texas) constructs a semantic graph from 451 articles, linked to from the World War II article. [3] Ryan Tanner's goal is to produce a visualization "which allows one to quickly find and examine connections between the people, places and things described in Wikipedia".
This paper [4] looks into gender inequalities in Wikipedia articles, presenting a computational method for assessing gender bias in Wikipedia along several dimensions. It touches on a number of interesting questions, such as whether the same rules are used to determine whether women and men are notable; whether there is linguistic bias, and ...