Leveraging Knowledge Bases for Contextual Entity Exploration
Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv · 2015
Users today are constantly switching back and forth from applications where they consume or create content (such as e-books and productivity suites like Microsoft Office and Google Docs) to search engines where they satisfy their information needs. Unfortunately, though, this leads to a suboptimal user experience as the search engine lacks any knowledge about the content that the user is authoring or consuming in the application. As a result, productivity suites are starting to incorporate features that let the user "explore while they work". Existing work in the literature that can be applied to this problem takes a standard bag-of-words information retrieval approach, which consists of automatically creating a query that includes not only the target phrase or entity chosen by the user but also relevant terms from the context. While these approaches have been successful, they are inherently limited to returning results (documents) that have a syntactic match with the keywords in the query.