Wikify!: linking documents to encyclopedic knowledge
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Named entity normalization in user generated content
Proceedings of the second workshop on Analytics for noisy unstructured text data
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
Automatic link detection: a sequence labeling approach
Proceedings of the 18th ACM conference on Information and knowledge management
Natural Language Processing with Python
Natural Language Processing with Python
A ranking approach to target detection for automatic link generation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Linking archives using document enrichment and term selection
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Generating links to background knowledge: a case study using narrative radiology reports
Proceedings of the 20th ACM international conference on Information and knowledge management
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It is of great interest to news providers such as Yahoo! News to attain higher visitor rates by promoting greater engagement with their content. One aspect of engagement deals with keeping users on the site longer by allowing them to navigate through content with enhanced, click-through experiences. News portals have invested in ways to provide embedded links within news stories. So far these links have been manually curated by professional editors, and due to the manual effort involved, the use of such links has been limited. In this paper we propose an automated approach to detecting and linking newsworthy events to associated articles. Our analysis, conducted on Amazon's Mechanical Turk, reveals that our system's performance is comparable to that of professional editors, and that users find the automatically generated highlights interesting and the associated articles worthy of reading.