Wikipedia is often used a source of surface forms, or alternative reference strings for an entity, required for entity linking, disambiguation or coreference resolution tasks. Surface forms have been extracted in a number of works from Wikipedia labels, redirects, disambiguations and anchor texts of internal Wikipedia links, which we complement with anchor texts of external Wikipedia links from...

The paper concerns the problem of automatic category system creation for a set of documents connected with references. Presented approach has been evaluated on the Polish Wikipedia, where two graphs: the Wikipedia category graph and article graph has been analyzed. The linkages between Wikipedia articles has been used to create a new category graph with weighted edges. We compare the created ca...

Abstract Wikipedia’s content is based on reliable and published sources. To this date, relatively little known about what sources Wikipedia relies on, in part because extracting citations identifying cited challenging. close gap, we release Citations, a comprehensive data set of extracted from Wikipedia. We extracted29.3 million 6.1 English articles as May 2020, classified being books, journal ...

In this paper we present WRPA, a system for Relational Paraphrase Acquisition from Wikipedia. WRPA extracts paraphrasing patterns that hold a particular relation between two entities taking advantage of Wikipedia structure. What is new in this system is that Wikipedia’s exploitation goes beyond infoboxes, reaching itemized information embedded in Wikipedia pages. WRPA is language independent, a...

Searching Wikipedia has been the focus of study for an increasing number of information retrieval publications. In recent years different IR tasks have used Wikipedia as a basis for evaluating algorithms and interfaces for various types of search tasks, including Question Answering, Exploratory Search, Entity Search and Structured Document retrieval. Despite being associated with these well-def...

Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashion than a search engine and with more coverage than WordNet. We present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts,...

DBpedia is a Semantic Web project aiming to extract structured data from Wikipedia articles. Due to the increasing number of resources linked to it, DBpedia plays a central role in the Linked Open Data community. Currently, the information contained in DBpedia is mainly collected from Wikipedia infoboxes, a set of subject-attribute-value triples that represents a summary of the Wikipedia page. ...

Wikipedia is a community-created encyclopedia that contains information about notable people from different countries, epochs and disciplines and aims to document the world’s knowledge from a neutral point of view. However, the narrow diversity of the Wikipedia editor community has the potential to introduce systemic biases such as gender biases into the content of Wikipedia. In this paper we a...

Wikipedia, the free-content online encyclopaedia, contains many heavily accessed pages relating to healthcare. Cochrane systematic reviews contain much high-grade evidence but dissemination into Wikipedia has been slow. New skills are needed to both translate and relocate data from Cochrane reviews to implant into Wikipedia pages. This letter introduces a programme to greatly simplify the proce...