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Related papers: Exploring and Eliciting Needs and Preferences from…

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As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowledge base building, machine translation, text classification,…

Recommender systems have been successfully applied to assist decision making by producing a list of item recommendations tailored to user preferences. Traditional recommender systems only focus on optimizing the utility of the end users who…

Information Retrieval · Computer Science 2017-07-28 Yong Zheng

A prevailing paradigm in neural text generation is one-shot generation, where text is produced in a single step. The one-shot setting is inadequate, however, when the constraints the user wishes to impose on the generated text are dynamic,…

Computation and Language · Computer Science 2020-10-27 Felix Faltings , Michel Galley , Gerold Hintz , Chris Brockett , Chris Quirk , Jianfeng Gao , Bill Dolan

Sections are the building blocks of Wikipedia articles. They enhance readability and can be used as a structured entry point for creating and expanding articles. Structuring a new or already existing Wikipedia article with sections is a…

Information Retrieval · Computer Science 2018-05-07 Tiziano Piccardi , Michele Catasta , Leila Zia , Robert West

Wikipedia administrators are vital to the platform's success, performing over a million administrative actions annually. This multi-method study systematically analyzes adminship across 284 Wikipedia languages since 2018, revealing a…

Computers and Society · Computer Science 2026-01-29 Eli Asikin-Garmager , Yu-Ming Liou , Caroline Myrick , Claudia Lo , Diego Saez-Trumper , Leila Zia

While the similarity between two concept words has been evaluated and studied for decades, much less attention has been devoted to algorithms that can compute the similarity of nodes in very large knowledge graphs, like Wikidata. To…

Artificial Intelligence · Computer Science 2021-08-13 Filip Ilievski , Pedro Szekely , Gleb Satyukov , Amandeep Singh

Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively…

Recommender systems are a valuable tool for software engineers. For example, they can provide developers with a ranked list of files likely to contain a bug, or multiple auto-complete suggestions for a given method stub. However, the way…

Software Engineering · Computer Science 2022-08-02 Christoph Treude

In order to evaluate, compare, and tune graph algorithms, experiments on well designed benchmark sets have to be performed. Together with the goal of reproducibility of experimental results, this creates a demand for a public archive to…

In requirements engineering for recommender systems, software engineers must identify the data that drives the recommendations. This is a labor-intensive task, which is error-prone and expensive. One possible solution to this problem is the…

Software Engineering · Computer Science 2016-02-25 Ivens Portugal , Paulo Alencar , Donald Cowan

Peer production projects such as Wikipedia or open-source software development allow volunteers to collectively create knowledge based products. The inclusive nature of such projects poses difficult challenges for ensuring trustworthiness…

Computer Science and Game Theory · Computer Science 2014-02-05 S. Anand , Ofer Arazy , Narayan Mandayam , Oded Nov

Encyclopedic knowledge platforms are key gateways through which users explore information online. The recent release of Grokipedia, a fully AI-generated encyclopedia, introduces a new alternative to traditional, well-established platforms…

Information Retrieval · Computer Science 2025-12-22 Erica Coppolillo , Simone Mungari

As the number of contributors to online peer-production systems grows, it becomes increasingly important to predict whether the edits that users make will eventually be beneficial to the project. Existing solutions either rely on a user…

Applications · Statistics 2018-07-06 Ali Batuhan Yardım , Victor Kristof , Lucas Maystre , Matthias Grossglauser

Wikipedia is one of the main repositories of free knowledge available today, with a central role in the Web ecosystem. For this reason, it can also be a battleground for actors trying to impose specific points of view or even spreading…

Computers and Society · Computer Science 2021-07-01 Pablo Aragón , Diego Sáez-Trumper

In this work, we are interested in the inner-cultural background shaping broad people's preferences. Our interest is also to track this human footprint, as it has the tendency to disappear due to the nowadays globalization. Given that…

Physics and Society · Physics 2018-09-25 Yérali Gandica

Keeping large language models factually up-to-date is crucial for deployment, yet costly retraining remains a challenge. Knowledge editing offers a promising alternative, but methods are only tested on small-scale or synthetic edit…

Computation and Language · Computer Science 2025-09-23 Lukas Thede , Karsten Roth , Matthias Bethge , Zeynep Akata , Tom Hartvigsen

This work supports further development of language technology for the languages of Africa by providing a Wikidata-derived resource of name lists corresponding to common entity types (person, location, and organization). While we are not the…

Computation and Language · Computer Science 2021-04-02 Jonne Sälevä , Constantine Lignos

At least since Priestley's 1765 Chart of Biography, large numbers of individual person records have been used to illustrate aggregate patterns of cultural history. Wikidata, the structured database sister of Wikipedia, currently contains…

Social and Information Networks · Computer Science 2015-06-23 Doron Goldfarb , Dieter Merkl , Maximilian Schich

In knowledge bases such as Wikidata, it is possible to assert a large set of properties for entities, ranging from generic ones such as name and place of birth to highly profession-specific or background-specific ones such as doctoral…

Information Retrieval · Computer Science 2017-09-21 Simon Razniewski , Vevake Balaraman , Werner Nutt

Recommender systems apply data mining techniques and prediction algorithms to predict users' interest on information, products and services among the tremendous amount of available items. The vast growth of information on the Internet as…

Information Retrieval · Computer Science 2016-11-25 Dhoha Almazro , Ghadeer Shahatah , Lamia Albdulkarim , Mona Kherees , Romy Martinez , William Nzoukou
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