Paper Info
Title
PATTY: a taxonomy of relational patterns with semantic types
Abstract
This paper presents PATTY: a large resource for textual patterns that denote binary relations between entities. The patterns are semantically typed and organized into a subsumption taxonomy. The PATTY system is based on efficient algorithms for frequent itemset mining and can process Web-scale corpora. It harnesses the rich type system and entity population of large knowledge bases. The PATTY taxonomy comprises 350,569 pattern synsets. Random-sampling-based evaluation shows a pattern accuracy of 84.7%. PATTY has 8,162 subsumptions, with a random-sampling-based precision of 75%. The PATTY resource is freely available for interactive access and download.
Year
Venue
Keywords
2012
EMNLP-CoNLL
semantic type,pattern synsets,patty system,rich type system,relational pattern,textual pattern,patty taxonomy,large knowledge base,subsumption taxonomy,patty resource,pattern accuracy,large resource
Field
DocType
Volume
Population,Information retrieval,Computer science,Binary relation,Natural language processing,Artificial intelligence
Conference
D12-1
Citations 
PageRank 
References 
160
4.33
33
Authors
3
Search Limit
100160
Name
Order
Citations
PageRank
Ndapandula Nakashole139419.48
Gerhard Weikum2127102146.01
Fabian M. Suchanek33900188.75