Complementary Information for Wikipedia by Comparing Multilingual Articles

Autor:	Yuya Fujiwara, Akiyo Nadamoto, Yukio Konishi, Yu Suzuki
Rok vydání:	2013
Předmět:	Word-sense disambiguation Information retrieval Semantic similarity Computer science business.industry Cosine similarity Artificial intelligence computer.software_genre business computer Natural language processing Comparison area Complement (complexity)
Zdroj:	Web Technologies and Applications ISBN: 9783642374005 APWeb
DOI:	10.1007/978-3-642-37401-2_27
Popis:	Information of many articles is lacking in Wikipedia because users can create and edit the information freely. We specifically examined the multilinguality of Wikipedia and proposed a method to complement information of articles which lack information based on comparing different language articles that have similar contents. However, much non-complementary information is unrelated to a user’s browsing article in the results. Herein, we propose improvement of the comparison area based on the classified complementary target.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::79790b75b7e2681f7d12f8c0b56a1632 https://doi.org/10.1007/978-3-642-37401-2_27 Zobrazit plný text záznamu