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Towards Hybrid NER: A Study of Content and Crowdsourcing-Related Performance Factors
Published on 2015-07-151499 Views
This paper explores the factors that influence the human component in hybrid approaches to named entity recognition (NER) in microblogs, which combine state-of-the-art automatic techniques with hum
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Presentation
Towards hybrid NER: a study of content and crowdsourcing-related performance factors 00:00
Motivation00:23
Overview: Named entity recognition in tweets00:55
Aims of this work 02:33
Research hypotheses 03:07
Task design04:13
Platform: Wordsmith05:02
Experiment06:22
Datasets08:29
Gold standard: entity definition 09:14
Gold standard: entity type mapping 09:58
Results10:37
H1.1 Number of entities 10:48
H1.2 Micropost length 11:18
H1.3 Entity types 11:35
H2.1 Skipped tweets: number of entities 12:24
H2.1 Skipped tweets: Micropost length 12:46
H2.1 Skipped tweets: Entity types 13:13
H2.2 Avg. accurate annotation time (secs)13:50
H2.3 Accuracy of annotation 15:36
Discussion: Difficult cases16:06
Discussions: Implicit entities 18:55
Summary20:36
Thank you22:13