12€€€€Collaborating on the Sum of All Knowledge Across Languages
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Collaboration: Interoperability Between People in the Creation of Language Resources for Less-Resourced Languages a SALTMIL Workshop May 27, 2008 Workshop Programme
Collaboration: interoperability between people in the creation of language resources for less-resourced languages A SALTMIL workshop May 27, 2008 Workshop Programme 14:30-14:35 Welcome 14:35-15:05 Icelandic Language Technology Ten Years Later Eiríkur Rögnvaldsson 15:05-15:35 Human Language Technology Resources for Less Commonly Taught Languages: Lessons Learned Toward Creation of Basic Language Resources Heather Simpson, Christopher Cieri, Kazuaki Maeda, Kathryn Baker, and Boyan Onyshkevych 15:35-16:05 Building resources for African languages Karel Pala, Sonja Bosch, and Christiane Fellbaum 16:05-16:45 COFFEE BREAK 16:45-17:15 Extracting bilingual word pairs from Wikipedia Francis M. Tyers and Jacques A. Pienaar 17:15-17:45 Building a Basque/Spanish bilingual database for speaker verification Iker Luengo, Eva Navas, Iñaki Sainz, Ibon Saratxaga, Jon Sanchez, Igor Odriozola, Juan J. Igarza and Inma Hernaez 17:45-18:15 Language resources for Uralic minority languages Attila Novák 18:15-18:45 Eslema. Towards a Corpus for Asturian Xulio Viejo, Roser Saurí and Angel Neira 18:45-19:00 Annual General Meeting of the SALTMIL SIG i Workshop Organisers Briony Williams Language Technologies Unit Bangor University, Wales, UK Mikel L. Forcada Departament de Llenguatges i Sistemes Informàtics Universitat d'Alacant, Spain Kepa Sarasola Lengoaia eta Sistema Informatikoak Saila Euskal Herriko Unibertsitatea / University of the Basque Country SALTMIL Speech and Language Technologies for Minority Languages A SIG of the International Speech Communication Association -
The Culture of Wikipedia
Good Faith Collaboration: The Culture of Wikipedia Good Faith Collaboration The Culture of Wikipedia Joseph Michael Reagle Jr. Foreword by Lawrence Lessig The MIT Press, Cambridge, MA. Web edition, Copyright © 2011 by Joseph Michael Reagle Jr. CC-NC-SA 3.0 Purchase at Amazon.com | Barnes and Noble | IndieBound | MIT Press Wikipedia's style of collaborative production has been lauded, lambasted, and satirized. Despite unease over its implications for the character (and quality) of knowledge, Wikipedia has brought us closer than ever to a realization of the centuries-old Author Bio & Research Blog pursuit of a universal encyclopedia. Good Faith Collaboration: The Culture of Wikipedia is a rich ethnographic portrayal of Wikipedia's historical roots, collaborative culture, and much debated legacy. Foreword Preface to the Web Edition Praise for Good Faith Collaboration Preface Extended Table of Contents "Reagle offers a compelling case that Wikipedia's most fascinating and unprecedented aspect isn't the encyclopedia itself — rather, it's the collaborative culture that underpins it: brawling, self-reflexive, funny, serious, and full-tilt committed to the 1. Nazis and Norms project, even if it means setting aside personal differences. Reagle's position as a scholar and a member of the community 2. The Pursuit of the Universal makes him uniquely situated to describe this culture." —Cory Doctorow , Boing Boing Encyclopedia "Reagle provides ample data regarding the everyday practices and cultural norms of the community which collaborates to 3. Good Faith Collaboration produce Wikipedia. His rich research and nuanced appreciation of the complexities of cultural digital media research are 4. The Puzzle of Openness well presented. -
Explaining Cultural Borders on Wikipedia Through Multilingual Co-Editing Activity
Samoilenko et al. EPJ Data Science (2016)5:9 DOI 10.1140/epjds/s13688-016-0070-8 REGULAR ARTICLE OpenAccess Linguistic neighbourhoods: explaining cultural borders on Wikipedia through multilingual co-editing activity Anna Samoilenko1,2*, Fariba Karimi1,DanielEdler3, Jérôme Kunegis2 and Markus Strohmaier1,2 *Correspondence: [email protected] Abstract 1GESIS - Leibniz-Institute for the Social Sciences, 6-8 Unter In this paper, we study the network of global interconnections between language Sachsenhausen, Cologne, 50667, communities, based on shared co-editing interests of Wikipedia editors, and show Germany that although English is discussed as a potential lingua franca of the digital space, its 2University of Koblenz-Landau, Koblenz, Germany domination disappears in the network of co-editing similarities, and instead local Full list of author information is connections come to the forefront. Out of the hypotheses we explored, bilingualism, available at the end of the article linguistic similarity of languages, and shared religion provide the best explanations for the similarity of interests between cultural communities. Population attraction and geographical proximity are also significant, but much weaker factors bringing communities together. In addition, we present an approach that allows for extracting significant cultural borders from editing activity of Wikipedia users, and comparing a set of hypotheses about the social mechanisms generating these borders. Our study sheds light on how culture is reflected in the collective process -
The Case of Croatian Wikipedia: Encyclopaedia of Knowledge Or Encyclopaedia for the Nation?
The Case of Croatian Wikipedia: Encyclopaedia of Knowledge or Encyclopaedia for the Nation? 1 Authorial statement: This report represents the evaluation of the Croatian disinformation case by an external expert on the subject matter, who after conducting a thorough analysis of the Croatian community setting, provides three recommendations to address the ongoing challenges. The views and opinions expressed in this report are those of the author and do not necessarily reflect the official policy or position of the Wikimedia Foundation. The Wikimedia Foundation is publishing the report for transparency. Executive Summary Croatian Wikipedia (Hr.WP) has been struggling with content and conduct-related challenges, causing repeated concerns in the global volunteer community for more than a decade. With support of the Wikimedia Foundation Board of Trustees, the Foundation retained an external expert to evaluate the challenges faced by the project. The evaluation, conducted between February and May 2021, sought to assess whether there have been organized attempts to introduce disinformation into Croatian Wikipedia and whether the project has been captured by ideologically driven users who are structurally misaligned with Wikipedia’s five pillars guiding the traditional editorial project setup of the Wikipedia projects. Croatian Wikipedia represents the Croatian standard variant of the Serbo-Croatian language. Unlike other pluricentric Wikipedia language projects, such as English, French, German, and Spanish, Serbo-Croatian Wikipedia’s community was split up into Croatian, Bosnian, Serbian, and the original Serbo-Croatian wikis starting in 2003. The report concludes that this structure enabled local language communities to sort by points of view on each project, often falling along political party lines in the respective regions. -
Measuring Wikipedia PREPRINT 2005-04-12
Jakob Voss: Measuring Wikipedia PREPRINT 2005-04-12 * Measuring Wikipedia Jakob Voß (Humboldt-University of Berlin, Institute for library science) [email protected] Abstract: Wikipedia, an international project that uses Wiki software to collaboratively create an encyclopaedia, is becoming more and more popular. Everyone can directly edit articles and every edit is recorded. The version history of all articles is freely available and allows a multitude of examinations. This paper gives an overview on Wikipedia research. Wikipedia’s fundamental components, i.e. articles, authors, edits, and links, as well as con- tent and quality are analysed. Possibilities of research are explored including examples and first results. Several characteristics that are found in Wikipedia, such as exponential growth and scale-free networks are already known in other context. However the Wiki architecture also possesses some intrinsic specialities. General trends are measured that are typical for all Wikipedias but vary between languages in detail. Introduction Wikipedia is an international online project which attempts to create a free encyclopaedia in multiple languages. Using Wiki software, thousand of volunteers have collaboratively and successfully edited articles. Within three years, the world’s largest Open Content project has achieved more than 1.500.000 articles, outnumbering all other encyclopaedias. Still there is little research about the pro- ject or on Wikis at all.1 Most reflection on Wikipedia is raised within the community of its contribut- ors. This paper gives a first overview and outlook on Wikipedia research. Wikipedia is particularly in- teresting to cybermetric research because of the richness of phenomena and because its data is fully accessible. -
The Case of 13 Wikipedia Instances
Interaction Design and Architecture(s) Journal - IxD&A, N.22, 2014, pp. 34-47 The Impact of Culture On Smart Community Technology: The Case of 13 Wikipedia Instances Zinayida Petrushyna1, Ralf Klamma1, Matthias Jarke1,2 1 Advanced Community Information Systems Group, Information Systems and Databases Chair, RWTH Aachen University, Ahornstrasse 55, 52056 Aachen, Germany 2 Fraunhofer Institute for Applied Information Technology FIT, 53754 St. Augustin, Germany {petrushyna, klamma}@dbis.rwth-aachen.de [email protected] Abstract Smart communities provide technologies for monitoring social behaviors inside communities. The technologies that support knowledge building should consider the cultural background of community members. The studies of the influence of the culture on knowledge building is limited. Just a few works consider digital traces of individuals that they explain using cultural values and beliefs. In this work, we analyze 13 Wikipedia instances where users with different cultural background build knowledge in different ways. We compare edits of users. Using social network analysis we build and analyze co- authorship networks and watch the networks evolution. We explain the differences we have found using Hofstede dimensions and Schwartz cultural values and discuss implications for the design of smart community technologies. Our findings provide insights in requirements for technologies used for smart communities in different cultures. Keywords: Social network analysis, Wikipedia communities, Hofstede dimensions, Schwartz cultural values 1 Introduction People prefer to leave in smart cities where their needs are satisfied [1]. The development of smart cities depends on the collaboration of individuals. The investigation of the flow [1] of knowledge created by the individuals allows the monitoring of city smartness. -
Dictionary of Slovenian Exonyms Explanatory Notes
GEOGRAFSKI INŠTITUT ANTONA MELIKA ZNANSTVENORAZISKOVALNI CENTER SLOVENSKE AKADEMIJE ZNANOSTI IN UMETNOSTI ANTON MELIK GEOGRAPHICAL INSTITUTE OF ZRC SAZU DICTIONARY OF SLOVENIAN EXONYMS EXPLANATORY NOTES Drago Kladnik Drago Perko AMGI ZRC SAZU Ljubljana 2013 1 Preface The geocoded collection of Slovenia exonyms Zbirka slovenskih eksonimov and the dictionary of Slovenina exonyms Slovar slovenskih eksonimov have been set up as part of the research project Slovenski eksonimi: metodologija, standardizacija, GIS (Slovenian Exonyms: Methodology, Standardization, GIS). They include more than 5,000 of the most frequently used exonyms that were collected from more than 50,000 documented various forms of these types of geographical names. The dictionary contains thirty-four categories and has been designed as a contribution to further standardization of Slovenian exonyms, which can be added to on an ongoing basis and used to find information on Slovenian exonym usage. Currently, their use is not standardized, even though analysis of the collected material showed that the differences are gradually becoming smaller. The standardization of public, professional, and scholarly use will allow completely unambiguous identification of individual features and items named. By determining the etymology of the exonyms included, we have prepared the material for their final standardization, and by systematically documenting them we have ensured that this important aspect of the Slovenian language will not sink into oblivion. The results of this research will not only help preserve linguistic heritage as an important aspect of Slovenian cultural heritage, but also help preserve national identity. Slovenian exonyms also enrich the international treasury of such names and are undoubtedly important part of the world’s linguistic heritage. -
Europe's Online Encyclopaedias
Europe's online encyclopaedias Equal access to knowledge of general interest in a post-truth era? IN-DEPTH ANALYSIS EPRS | European Parliamentary Research Service Author: Naja Bentzen Members' Research Service PE 630.347 – December 2018 EN The post-truth era – in which emotions seem to trump evidence, while trust in institutions, expertise and mainstream media is declining – is putting our information ecosystem under strain. At a time when information is increasingly being manipulated for ideological and economic purposes, public access to sources of trustworthy, general-interest knowledge – such as national online encyclopaedias – can help to boost our cognitive resilience. Basic, reliable background information about history, culture, society and politics is an essential part of our societies' complex knowledge ecosystem and an important tool for any citizen searching for knowledge, facts and figures. AUTHOR Naja Bentzen, Members' Research Service This paper has been drawn up by the Members' Research Service, within the Directorate-General for Parliamentary Research Services (EPRS) of the Secretariat of the European Parliament. The annexes to this paper are dedicated to individual countries and contain contributions from Ilze Eglite (coordinating information specialist), Evarts Anosovs, Marie-Laure Augere-Granier, Jan Avau, Michele Bigoni, Krisztina Binder, Kristina Grosek, Matilda Ekehorn, Roy Hirsh, Sorina Silvia Ionescu, Ana Martinez Juan, Ulla Jurviste, Vilma Karvelyte, Giorgios Klis, Maria Kollarova, Veronika Kunz, Elena Lazarou, Tarja Laaninen, Odile Maisse, Helmut Masson, Marketa Pape, Raquel Juncal Passos Rocha, Eric Pichon, Anja Radjenovic, Beata Rojek- Podgorska, Nicole Scholz, Anne Vernet and Dessislava Yougova. The graphics were produced by Giulio Sabbati. To contact the authors, please email: [email protected] LINGUISTIC VERSIONS Original: EN Translations: DE, FR Original manuscript, in English, completed in January 2018 and updated in December 2018. -
Is Wikipedia Really Neutral? a Sentiment Perspective Study of War-Related Wikipedia Articles Since 1945
PACLIC 29 Is Wikipedia Really Neutral? A Sentiment Perspective Study of War-related Wikipedia Articles since 1945 Yiwei Zhou, Alexandra I. Cristea and Zachary Roberts Department of Computer Science University of Warwick Coventry, United Kingdom fYiwei.Zhou, A.I.Cristea, [email protected] Abstract include books, journal articles, newspapers, web- pages, sound recordings2, etc. Although a “Neutral Wikipedia is supposed to be supporting the 3 “Neutral Point of View”. Instead of accept- point of view” (NPOV) is Wikipedia’s core content ing this statement as a fact, the current paper policy, we believe sentiment expression is inevitable analyses its veracity by specifically analysing in this user-generated content. Already in (Green- a typically controversial (negative) topic, such stein and Zhu, 2012), researchers have raised doubt as war, and answering questions such as “Are about Wikipedia’s neutrality, as they pointed out there sentiment differences in how Wikipedia that “Wikipedia achieves something akin to a NPOV articles in different languages describe the across articles, but not necessarily within them”. same war?”. This paper tackles this chal- Moreover, people of different language backgrounds lenge by proposing an automatic methodology based on article level and concept level senti- share different cultures and sources of information. ment analysis on multilingual Wikipedia arti- These differences have reflected on the style of con- cles. The results obtained so far show that rea- tributions (Pfeil et al., 2006) and the type of informa- sons such as people’s feelings of involvement tion covered (Callahan and Herring, 2011). Further- and empathy can lead to sentiment expression more, Wikipedia webpages actually allow to con- differences across multilingual Wikipedia on tain opinions, as long as they come from reliable au- war-related topics; the more people contribute thors4. -
Parallel-Wiki: a Collection of Parallel Sentences Extracted from Wikipedia
Parallel-Wiki: A Collection of Parallel Sentences Extracted from Wikipedia Dan Ştefănescu1,2 and Radu Ion1 1 Research Institute for Artificial Intelligence, Romanian Academy {danstef,radu}@racai.ro 2 Department of Computer Science, The University of Memphis [email protected] Abstract. Parallel corpora are essential resources for certain Natural Language Processing tasks such as Statistical Machine Translation. However, the existing publically available parallel corpora are specific to limited genres or domains, mostly juridical (e.g. JRC-Acquis) and medical (e.g. EMEA), and there is a lack of such resources for the general domain. This paper addresses this issue and presents a collection of parallel sentences extracted from the entire Wikipedia collection of documents for the following pairs of languages: English-German, English-Romanian and English-Spanish. Our work began with the processing of the publically available Wikipedia static dumps for the three languages in- volved. The existing text was stripped of the specific mark-up, cleaned of non- textual entries like images or tables and sentence-split. Then, corresponding documents for the above mentioned pairs of languages were identified using the cross-lingual Wikipedia links embedded within the documents themselves. Considering them comparable documents, we further employed a publically available tool named LEXACC, developed during the ACCURAT project, to extract parallel sentences from the preprocessed data. LEXACC assigns a score to each extracted pair, which is a measure of the degree of parallelism between the two sentences in the pair. These scores allow researchers to select only those sentences having a certain degree of parallelism suited for their intended purposes. -
Wikipedia @ 20
Wikipedia @ 20 Wikipedia @ 20 Stories of an Incomplete Revolution Edited by Joseph Reagle and Jackie Koerner The MIT Press Cambridge, Massachusetts London, England © 2020 Massachusetts Institute of Technology This work is subject to a Creative Commons CC BY- NC 4.0 license. Subject to such license, all rights are reserved. The open access edition of this book was made possible by generous funding from Knowledge Unlatched, Northeastern University Communication Studies Department, and Wikimedia Foundation. This book was set in Stone Serif and Stone Sans by Westchester Publishing Ser vices. Library of Congress Cataloging-in-Publication Data Names: Reagle, Joseph, editor. | Koerner, Jackie, editor. Title: Wikipedia @ 20 : stories of an incomplete revolution / edited by Joseph M. Reagle and Jackie Koerner. Other titles: Wikipedia at 20 Description: Cambridge, Massachusetts : The MIT Press, [2020] | Includes bibliographical references and index. Identifiers: LCCN 2020000804 | ISBN 9780262538176 (paperback) Subjects: LCSH: Wikipedia--History. Classification: LCC AE100 .W54 2020 | DDC 030--dc23 LC record available at https://lccn.loc.gov/2020000804 Contents Preface ix Introduction: Connections 1 Joseph Reagle and Jackie Koerner I Hindsight 1 The Many (Reported) Deaths of Wikipedia 9 Joseph Reagle 2 From Anarchy to Wikiality, Glaring Bias to Good Cop: Press Coverage of Wikipedia’s First Two Decades 21 Omer Benjakob and Stephen Harrison 3 From Utopia to Practice and Back 43 Yochai Benkler 4 An Encyclopedia with Breaking News 55 Brian Keegan 5 Paid with Interest: COI Editing and Its Discontents 71 William Beutler II Connection 6 Wikipedia and Libraries 89 Phoebe Ayers 7 Three Links: Be Bold, Assume Good Faith, and There Are No Firm Rules 107 Rebecca Thorndike- Breeze, Cecelia A. -
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy Using Wikipedia and Dbpedia
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia Diego Alves1[0000−0001−8311−2240], Gaurish Thakkar1[0000−0002−8119−5078], Gabriel Amaral2[0000−0002−4482−5376], Tin Kuculo3[0000−0001−6874−8881)], and Marko Tadi´c1[0000−0001−6325−820X] 1 Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb 10000, Croatia fdfvalio,[email protected], [email protected] 2 King's College London, London, United Kingdom [email protected] 3 L3S Research Center, Leibniz University Hannover, Hannover, Germany [email protected] Abstract. With the ever-growing popularity of the field of NLP, the demand for datasets in low resourced-languages follows suit. Following a previously established framework, in this paper1, we present the UNER dataset, a multilingual and hierarchical parallel corpus annotated for named-entities. We describe in detail the developed procedure necessary to create this type of dataset in any language available on Wikipedia with DBpedia information. The three-step procedure extracts entities from Wikipedia articles, links them to DBpedia, and maps the DBpedia sets of classes to the UNER labels. This is followed by a post-processing procedure that significantly increases the number of identified entities in the final results. The paper concludes with a statistical and qualitative analysis of the resulting dataset. Keywords: named-entity · multilingualism · data extraction 1 Introduction Named entity recognition and classification (NERC) is an essential Natural Lan- guage Processing (NLP) task involved in many applications like interactive ques- tion answering, summarizing, relation extraction, and text mining. It was orig- inally defined in the 6th Message Understanding Conference (MUC-6) as the identification of \Person", \Location" and \Organization" types [3].