Summarization for entity annotation Contextual summary 徐丹云 2014.6.30

Experiments Introduction Background Approachs Problem Part One 1 Part Two 2 Part Three 3 Part Four 4 Part Five 5 Introduction Background Problem Approachs Experiments

Introduction Three Steps Identity Ranking disambiguation Entity annotation（entity linking, entity disambiguation） Three Steps Identity Ranking disambiguation Introduction Figure[2]

Background System Classification Munual annotation New York Times Semi-automatic annotation ZenCrowd[5] Automatic annotation AIDA[7] DBpediaSpotlight[6] ……. Background

Background Approaches： Machine learning Crowdsourcing General Supervised Semi-supervised Crowdsourcing Background

Motivation Have human in the loop of entity annotation(crowdsourcing…) For example [5] Descriptions are lengthy & inefficient verification Annotate more efficiently Guarantee accuracy Motivation

Problem Automatically generate a summary (or summaries) Input: entity mention & its surrounding text; candidate entity (or entities) Output: summaries of candidate entity (or entities) Problem

Approaches Features： Model Popularity of entity Similarity between entity and text Entity type Name String Comparison …… Model Approaches

Experiments DataSet Ground truth Knowledge base AQUAINT[8](http://www.nzdl.org/wikification/docs.html) (50 documents : newswire stories from the Xinhua News Service, the New York , and the Associated Press; average of 9 links per document; link to wikipedia； wrong and right) IITB[9](http://www.cse.iitb.ac.in/soumen/doc/CSAW/) (100 manually annotated texts, Web pages about sport, entertainment, science and technology, and health; 19000 annotations, 3800 distinct Wikipedia entities) AIDA/CoNLL[2](http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/aida/downloads/) (newswire articles; YAGO2 entities) …… Knowledge base DBpedia Experiments

Experiments Evaluation BaseLine Time Accuracy Running efficiency [5]Total Description（corresponding webpage） One VS multiple Experiments

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