On the Impact of Entity Linking in Microblog Real-Time Filtering
This work addresses the challenge of improving retrieval effectiveness for real-time filtering in microblogging, which is incremental as it builds on existing TREC methods.
The authors tackled the problem of real-time filtering in microblogging by using Entity Linking (EL) to enrich post and query representations, resulting in significant improvements over non-EL based methods.
Microblogging is a model of content sharing in which the temporal locality of posts with respect to important events, either of foreseeable or unforeseeable nature, makes applica- tions of real-time filtering of great practical interest. We propose the use of Entity Linking (EL) in order to improve the retrieval effectiveness, by enriching the representation of microblog posts and filtering queries. EL is the process of recognizing in an unstructured text the mention of relevant entities described in a knowledge base. EL of short pieces of text is a difficult task, but it is also a scenario in which the information EL adds to the text can have a substantial impact on the retrieval process. We implement a start-of-the-art filtering method, based on the best systems from the TREC Microblog track realtime adhoc retrieval and filtering tasks , and extend it with a Wikipedia-based EL method. Results show that the use of EL significantly improves over non-EL based versions of the filtering methods.