nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Cross-Lingual Type Inference

verfasst von : Bo Xu, Yi Zhang, Jiaqing Liang, Yanghua Xiao, Seung-won Hwang, Wei Wang

Erschienen in: Database Systems for Advanced Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Entity typing is an essential task for constructing a knowledge base. However, many non-English knowledge bases fail to type their entities due to the absence of a reasonable local hierarchical taxonomy. Since constructing a widely accepted taxonomy is a hard problem, we propose to type these non-English entities with some widely accepted taxonomies in English, such as DBpedia, Yago and Freebase. We define this problem as cross-lingual type inference. In this paper, we present CUTE to type Chinese entities with DBpedia types. First we exploit the cross-lingual entity linking between Chinese and English entities to construct the training data. Then we propose a multi-label hierarchical classification algorithm to type these Chinese entities. Experimental results show the effectiveness and efficiency of our method.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Knowledge Graph Completion via Local Semantic Contexts

Nächstes Kapitel Benchmarking Semantic Capabilities of Analogy Querying Algorithms

In this paper, we strictly differentiate “category” from “type”. “Category” always refer to the part of the knowledge base such as Baidu Baike and Wikipedia named as “category”. Most of these categories actually are only tags of an entity. Instead “type” always refer to the class that an entity can be classified into.

http://oldwiki.dbpedia.org/Downloads2014.

http://oldwiki.dbpedia.org/Downloads2014#dbpedia-ontology.

http://oldwiki.dbpedia.org/Downloads2014#mapping-based-types.

http://oldwiki.dbpedia.org/Downloads2014#articles-categories.

http://baike.baidu.com/.

http://data.dws.informatik.uni-mannheim.de/dbpedia/2014/zh/labels_en_uris_zh.nt.bz2.

Palmero Aprosio, A., Giuliano, C., Lavelli, A.: Automatic expansion of DBpedia exploiting wikipedia cross-language information. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 397–411. Springer, Heidelberg (2013)CrossRef

Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: a nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)CrossRef

Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247–1250. ACM (2008)

Dong, L., Wei, F., Sun, H., Zhou, M., Xu, K.: A hybrid neural model for type classification of entity mentions. In: Proceedings of the 24th International Conference on Artificial Intelligence, pp. 1243–1249. AAAI Press (2015)

Gangemi, A., Nuzzolese, A.G., Presutti, V., Draicchio, F., Musetti, A., Ciancarini, P.: Automatic typing of DBpedia entities. In: Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 65–81. Springer, Heidelberg (2012)CrossRef

Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: Yago2: a spatially and temporally enhanced knowledge base from wikipedia. Artif. Intell. 194, 28–61 (2013)MathSciNetCrossRefMATH

Lee, T., Wang, Z., Wang, H., Hwang, S.W.: Attribute extraction and scoring: a probabilistic approach. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 194–205. IEEE (2013)

Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., et al.: DBpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semant. Web J. 5, 1–29 (2014)

Ling, X., Weld, D.S.: Fine-grained entity recognition. In: AAAI. Citeseer (2012)

10.

Murdock, J.W., Kalyanpur, A., Welty, C., Fan, J., Ferrucci, D.A., Gondek, D., Zhang, L., Kanayama, H.: Typing candidate answers using type coercion. IBM J. Res. Dev. 56(3.4), 7:1–7:13 (2012)

11.

Nakashole, N., Tylenda, T., Weikum, G.: Fine-grained semantic typing of emerging entities. In: ACL (1), pp. 1488–1497 (2013)

12.

Passant, A.: dbrec — music recommendations using DBpedia. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 209–224. Springer, Heidelberg (2010)CrossRef

13.

Paulheim, H., Bizer, C.: Type inference on noisy RDF data. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part I. LNCS, vol. 8218, pp. 510–525. Springer, Heidelberg (2013)CrossRef

14.

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825–2830 (2011)MathSciNetMATH

15.

Pohl, A.: Classifying the wikipedia articles into the opencyc taxonomy. In: Proceedings of the Web of Linked Entities Workshop in Conjuction with the 11th International Semantic Web Conference, vol. 5, p. 16 (2012)

16.

Ponzetto, S.P., Strube, M.: Deriving a large scale taxonomy from wikipedia. In: AAAI, vol. 7, pp. 1440–1445 (2007)

17.

Ritter, A., Clark, S., Etzioni, O., et al.: Named entity recognition in tweets: an experimental study. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1524–1534 (2011)

18.

Silla Jr., C.N., Freitas, A.A.: A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22(1–2), 31–72 (2011)MathSciNetCrossRefMATH

19.

Srinivas, S.: A generalization of the noisy-or model. In: Proceedings of the Ninth International Conference on Uncertainty in Artificial Intelligence, pp. 208–215. Morgan Kaufmann Publishers Inc. (1993)

20.

Suchanek, F.M., Abiteboul, S., Senellart, P.: Paris: probabilistic alignment of relations, instances, and schema. Proc. VLDB endowment 5(3), 157–168 (2011)CrossRef

21.

Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th International Conference on World Wide Web, pp. 697–706. ACM (2007)

22.

Wang, Z., Li, J., Tang, J.: Boosting cross-lingual knowledge linking via concept annotation. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp. 2733–2739. AAAI Press (2013)

23.

Wang, Z., Li, J., Wang, Z., Tang, J.: Cross-lingual knowledge linking across wiki knowledge bases. In: Proceedings of the 21st International Conference on World Wide Web, pp. 459–468. ACM (2012)

24.

Yosef, M.A., Bauer, S., Hoffart, J., Spaniol, M., Weikum, G.: Hyena: hierarchical type classification for entity names (2012)

Titel: Cross-Lingual Type Inference
verfasst von: Bo Xu
Yi Zhang
Jiaqing Liang
Yanghua Xiao
Seung-won Hwang
Wei Wang
Verlag: Springer International Publishing
Buch: Database Systems for Advanced Applications
Print ISBN: 978-3-319-32024-3

Electronic ISBN: 978-3-319-32025-0

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-32025-0_28

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner