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A Corpus for Complex Question Answering over Knowledge Graphs
Published on Nov 28, 20171100 Views
Being able to access knowledge bases in an intuitive way has been an active area of research over the past years. In particular, several question answering (QA) approaches which allow to query RDF dat
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Chapter list
LC-QuAD00:00
Outline00:11
Question Answering over KG00:38
Challenges when set, can then be overcome.01:23
Datasets precede Research01:35
Other Incentives02:54
Dataset(s)03:03
LC-QuAD04:22
Dataset Creation Process05:06
Traditionally05:22
Traditionally - 105:36
Inverting the Process06:28
Upon Further Simplification07:01
Upon Further Simplification - 107:45
Upon Further Simplification - 207:49
Remaining Challenges08:03
Automatically create SPARQL Queries08:20
Automatically create SPARQL Queries - 108:36
Automatically create SPARQL Queries - 208:53
Automatically create SPARQL Queries09:02
Automatically create SPARQL Queries - 409:10
SPARQL Queries Generated09:14
Remaining Challenges09:25
Creating intermediary NLQs09:31
Question Templates (NNQT)09:57
Template Instances10:19
Summary10:37
Manual Work10:44
Manual Work - 111:13
Dataset Characteristics11:39
Controlling Size and Variety12:40
Limitations13:23
Future Directions13:31
References, Citations13:51
Questions?14:02