Building a corpus for Japanese wikification with fine-grained entity classes

Davaajav Jargalsaikhan; Naoaki Okazaki; Koji Matsuda; Kentaro Inui

doi:10.18653/v1/p16-3021

Building a corpus for Japanese wikification with fine-grained entity classes

Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui

INF - System Information Sciences

Tohoku University

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

4 Citations (Scopus)

Abstract

In this research, we build a Wikification corpus for advancing Japanese Entity Linking. This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions. All entity mentions are labeled by a fine-grained semantic classes (200 classes), and 19,121 mentions were successfully linked to Japanese Wikipedia articles. Even with the fine-grained semantic classes, we found it hard to define the target of entity linking annotations and to utilize the fine-grained semantic classes to improve the accuracy of entity linking.

Original language	English
Title of host publication	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	138-144
Number of pages	7
ISBN (Electronic)	9781510827608
DOIs	https://doi.org/10.18653/v1/p16-3021
Publication status	Published - 2016
Event	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany Duration: 2016 Aug 7 → 2016 Aug 12

Publication series

Name	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop

Conference

Conference	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/Territory	Germany
City	Berlin
Period	16/8/7 → 16/8/12

Access to Document

10.18653/v1/p16-3021

Cite this

Jargalsaikhan, D., Okazaki, N., Matsuda, K., & Inui, K. (2016). Building a corpus for Japanese wikification with fine-grained entity classes. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop (pp. 138-144). (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p16-3021

Jargalsaikhan, Davaajav ; Okazaki, Naoaki ; Matsuda, Koji et al. / Building a corpus for Japanese wikification with fine-grained entity classes. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop. Association for Computational Linguistics (ACL), 2016. pp. 138-144 (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop).

@inproceedings{388f253ce0fd4b35ab3524f20ac404d6,

title = "Building a corpus for Japanese wikification with fine-grained entity classes",

abstract = "In this research, we build a Wikification corpus for advancing Japanese Entity Linking. This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions. All entity mentions are labeled by a fine-grained semantic classes (200 classes), and 19,121 mentions were successfully linked to Japanese Wikipedia articles. Even with the fine-grained semantic classes, we found it hard to define the target of entity linking annotations and to utilize the fine-grained semantic classes to improve the accuracy of entity linking.",

author = "Davaajav Jargalsaikhan and Naoaki Okazaki and Koji Matsuda and Kentaro Inui",

note = "Publisher Copyright: {\textcopyright} 2016 Association for Computational Linguistics.; 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",

year = "2016",

doi = "10.18653/v1/p16-3021",

language = "English",

series = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop",

publisher = "Association for Computational Linguistics (ACL)",

pages = "138--144",

booktitle = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop",

address = "United States",

}

Jargalsaikhan, D, Okazaki, N, Matsuda, K & Inui, K 2016, Building a corpus for Japanese wikification with fine-grained entity classes. in 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop, Association for Computational Linguistics (ACL), pp. 138-144, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, Berlin, Germany, 16/8/7. https://doi.org/10.18653/v1/p16-3021

Building a corpus for Japanese wikification with fine-grained entity classes. / Jargalsaikhan, Davaajav; Okazaki, Naoaki; Matsuda, Koji et al.
54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop. Association for Computational Linguistics (ACL), 2016. p. 138-144 (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop).

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

TY - GEN

T1 - Building a corpus for Japanese wikification with fine-grained entity classes

AU - Jargalsaikhan, Davaajav

AU - Okazaki, Naoaki

AU - Matsuda, Koji

AU - Inui, Kentaro

PY - 2016

Y1 - 2016

N2 - In this research, we build a Wikification corpus for advancing Japanese Entity Linking. This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions. All entity mentions are labeled by a fine-grained semantic classes (200 classes), and 19,121 mentions were successfully linked to Japanese Wikipedia articles. Even with the fine-grained semantic classes, we found it hard to define the target of entity linking annotations and to utilize the fine-grained semantic classes to improve the accuracy of entity linking.

AB - In this research, we build a Wikification corpus for advancing Japanese Entity Linking. This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions. All entity mentions are labeled by a fine-grained semantic classes (200 classes), and 19,121 mentions were successfully linked to Japanese Wikipedia articles. Even with the fine-grained semantic classes, we found it hard to define the target of entity linking annotations and to utilize the fine-grained semantic classes to improve the accuracy of entity linking.

UR - http://www.scopus.com/inward/record.url?scp=85016625546&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016625546&partnerID=8YFLogxK

U2 - 10.18653/v1/p16-3021

DO - 10.18653/v1/p16-3021

M3 - Conference contribution

AN - SCOPUS:85016625546

T3 - 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop

SP - 138

EP - 144

BT - 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop

PB - Association for Computational Linguistics (ACL)

T2 - 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016

Y2 - 7 August 2016 through 12 August 2016

ER -

Jargalsaikhan D, Okazaki N, Matsuda K, Inui K. Building a corpus for Japanese wikification with fine-grained entity classes. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop. Association for Computational Linguistics (ACL). 2016. p. 138-144. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Student Research Workshop). doi: 10.18653/v1/p16-3021

Building a corpus for Japanese wikification with fine-grained entity classes

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this