Abstract
Many articles in the online encyclopedia Wikipedia have hyperlinks to ambiguous article titles; these ambiguous links should be replaced with links to unambiguous articles, a process known as disambiguation. We propose a novel statistical topic model based on link text, which we refer to as the Link Text Topic Model (LTTM), that we use to suggest new link targets for ambiguous links. To evaluate our model, we describe a method for extracting ground truth for this link disambiguation task from edits made to Wikipedia in a specific time period. We use this ground truth to demonstrate the superiority of LTTM over other existing link- and content-based approaches to disambiguating links in Wikipedia. Finally, we build a web service that uses LTTM to make suggestions to human editors wanting to fix ambiguous links in Wikipedia.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.