Cross-lingual type inference

Bo Xu, Yi Zhang, Jiaqing Liang, Yanghua Xiao, Seung Won Hwang, Wei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings
EditorsShamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, Hui Xiong, X. Sean Wang
PublisherSpringer Verlag
Pages447-462
Number of pages16
ISBN (Print)9783319320243
DOIs
Publication statusPublished - 2016 Jan 1
Event21st International Conference on Database Systems for Advanced Applications, DASFAA 2016 - Dallas, United States
Duration: 2016 Apr 162016 Apr 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9642
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on Database Systems for Advanced Applications, DASFAA 2016
CountryUnited States
CityDallas
Period16/4/1616/4/19

Fingerprint

Type Inference
Taxonomies
Taxonomy
Knowledge Base
Hierarchical Classification
Classification Algorithm
Linking
Labels
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Xu, B., Zhang, Y., Liang, J., Xiao, Y., Hwang, S. W., & Wang, W. (2016). Cross-lingual type inference. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, H. Xiong, & X. S. Wang (Eds.), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (pp. 447-462). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9642). Springer Verlag. https://doi.org/10.1007/978-3-319-32025-0_28
Xu, Bo ; Zhang, Yi ; Liang, Jiaqing ; Xiao, Yanghua ; Hwang, Seung Won ; Wang, Wei. / Cross-lingual type inference. Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. editor / Shamkant B. Navathe ; Weili Wu ; Shashi Shekhar ; Xiaoyong Du ; Hui Xiong ; X. Sean Wang. Springer Verlag, 2016. pp. 447-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{2b8402110ae2475780524c904e48bbf5,
title = "Cross-lingual type inference",
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.",
author = "Bo Xu and Yi Zhang and Jiaqing Liang and Yanghua Xiao and Hwang, {Seung Won} and Wei Wang",
year = "2016",
month = "1",
day = "1",
doi = "10.1007/978-3-319-32025-0_28",
language = "English",
isbn = "9783319320243",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "447--462",
editor = "Navathe, {Shamkant B.} and Weili Wu and Shashi Shekhar and Xiaoyong Du and Hui Xiong and Wang, {X. Sean}",
booktitle = "Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings",
address = "Germany",

}

Xu, B, Zhang, Y, Liang, J, Xiao, Y, Hwang, SW & Wang, W 2016, Cross-lingual type inference. in SB Navathe, W Wu, S Shekhar, X Du, H Xiong & XS Wang (eds), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9642, Springer Verlag, pp. 447-462, 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, Dallas, United States, 16/4/16. https://doi.org/10.1007/978-3-319-32025-0_28

Cross-lingual type inference. / Xu, Bo; Zhang, Yi; Liang, Jiaqing; Xiao, Yanghua; Hwang, Seung Won; Wang, Wei.

Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. ed. / Shamkant B. Navathe; Weili Wu; Shashi Shekhar; Xiaoyong Du; Hui Xiong; X. Sean Wang. Springer Verlag, 2016. p. 447-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9642).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Cross-lingual type inference

AU - Xu, Bo

AU - Zhang, Yi

AU - Liang, Jiaqing

AU - Xiao, Yanghua

AU - Hwang, Seung Won

AU - Wang, Wei

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84962440923&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962440923&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-32025-0_28

DO - 10.1007/978-3-319-32025-0_28

M3 - Conference contribution

AN - SCOPUS:84962440923

SN - 9783319320243

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 447

EP - 462

BT - Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings

A2 - Navathe, Shamkant B.

A2 - Wu, Weili

A2 - Shekhar, Shashi

A2 - Du, Xiaoyong

A2 - Xiong, Hui

A2 - Wang, X. Sean

PB - Springer Verlag

ER -

Xu B, Zhang Y, Liang J, Xiao Y, Hwang SW, Wang W. Cross-lingual type inference. In Navathe SB, Wu W, Shekhar S, Du X, Xiong H, Wang XS, editors, Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. Springer Verlag. 2016. p. 447-462. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-32025-0_28