PATTY: A taxonomy of relational patterns with semantic types

Ndapandula Nakashole; Gerhard Weikum; Fabian Suchanek

PATTY: A taxonomy of relational patterns with semantic types

Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek

Max-Planck-Institut fur Informatik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents PATTY: a large resource for textual patterns that denote binary relations between entities. The patterns are semanti-cally 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.

Original language	English
Title of host publication	EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference
Pages	1135-1145
Number of pages	11
Publication status	Published - 1 Dec 2012
Externally published	Yes
Event	2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012 - Jeju Island, Korea, Republic of Duration: 12 Jul 2012 → 14 Jul 2012

Publication series

Name	EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference

Conference

Conference	2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	12/07/12 → 14/07/12

Cite this

Nakashole, N., Weikum, G., & Suchanek, F. (2012). PATTY: A taxonomy of relational patterns with semantic types. In EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference (pp. 1135-1145). (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

Nakashole, Ndapandula ; Weikum, Gerhard ; Suchanek, Fabian. / PATTY : A taxonomy of relational patterns with semantic types. EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 2012. pp. 1135-1145 (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

@inproceedings{e725394d8968415fa00dd74bb12ce25a,

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 semanti-cally 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.",

author = "Ndapandula Nakashole and Gerhard Weikum and Fabian Suchanek",

year = "2012",

month = dec,

day = "1",

language = "English",

isbn = "9781937284435",

series = "EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference",

pages = "1135--1145",

booktitle = "EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference",

note = "2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012 ; Conference date: 12-07-2012 Through 14-07-2012",

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Nakashole, N, Weikum, G & Suchanek, F 2012, PATTY: A taxonomy of relational patterns with semantic types. in EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference, pp. 1135-1145, 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012, Jeju Island, Korea, Republic of, 12/07/12.

PATTY: A taxonomy of relational patterns with semantic types. / Nakashole, Ndapandula; Weikum, Gerhard; Suchanek, Fabian.
EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 2012. p. 1135-1145 (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PATTY

T2 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012

AU - Nakashole, Ndapandula

AU - Weikum, Gerhard

AU - Suchanek, Fabian

PY - 2012/12/1

Y1 - 2012/12/1

N2 - This paper presents PATTY: a large resource for textual patterns that denote binary relations between entities. The patterns are semanti-cally 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.

AB - This paper presents PATTY: a large resource for textual patterns that denote binary relations between entities. The patterns are semanti-cally 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.

M3 - Conference contribution

AN - SCOPUS:84873147286

SN - 9781937284435

T3 - EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference

SP - 1135

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BT - EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference

Y2 - 12 July 2012 through 14 July 2012

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Nakashole N, Weikum G, Suchanek F. PATTY: A taxonomy of relational patterns with semantic types. In EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 2012. p. 1135-1145. (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

PATTY: A taxonomy of relational patterns with semantic types

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