Improving cross-lingual entity alignment via optimal transport

Shichao Pei; Lu Yu; Xiangliang Zhang

doi:10.24963/ijcai.2019/448

Improving cross-lingual entity alignment via optimal transport

Shichao Pei
, Lu Yu
, Xiangliang Zhang

Computer Science

King Abdullah University of Science and Technology

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

Original language	English
Title of host publication	Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Editors	Sarit Kraus
Publisher	International Joint Conferences on Artificial Intelligence
Pages	3231-3237
Number of pages	7
ISBN (Electronic)	9780999241141
DOIs	https://doi.org/10.24963/ijcai.2019/448
State	Published - 2019
Event	28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China Duration: Aug 10 2019 → Aug 16 2019

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
Volume	2019-August
ISSN (Print)	1045-0823

Conference

Conference	28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Country/Territory	China
City	Macao
Period	8/10/19 → 8/16/19

ASJC Scopus Subject Areas

Artificial Intelligence

Access to Document

10.24963/ijcai.2019/448

Cite this

Pei, S., Yu, L., & Zhang, X. (2019). Improving cross-lingual entity alignment via optimal transport. In S. Kraus (Ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 (pp. 3231-3237). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2019-August). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/448

Improving cross-lingual entity alignment via optimal transport. / Pei, Shichao; Yu, Lu; Zhang, Xiangliang.
Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. ed. / Sarit Kraus. International Joint Conferences on Artificial Intelligence, 2019. p. 3231-3237 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2019-August).

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

Pei, S, Yu, L & Zhang, X 2019, Improving cross-lingual entity alignment via optimal transport. in S Kraus (ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. IJCAI International Joint Conference on Artificial Intelligence, vol. 2019-August, International Joint Conferences on Artificial Intelligence, pp. 3231-3237, 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 8/10/19. https://doi.org/10.24963/ijcai.2019/448

Pei S, Yu L, Zhang X. Improving cross-lingual entity alignment via optimal transport. In Kraus S, editor, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. International Joint Conferences on Artificial Intelligence. 2019. p. 3231-3237. (IJCAI International Joint Conference on Artificial Intelligence). doi: 10.24963/ijcai.2019/448

Pei, Shichao ; Yu, Lu ; Zhang, Xiangliang. / Improving cross-lingual entity alignment via optimal transport. Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. editor / Sarit Kraus. International Joint Conferences on Artificial Intelligence, 2019. pp. 3231-3237 (IJCAI International Joint Conference on Artificial Intelligence).

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ER -

Improving cross-lingual entity alignment via optimal transport

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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