Interchange Formats for Visualization: LIF and MMIF

Kyeongmin Rim, Kelley Lynch, Marc Verhagen, Nancy Ide, James Pustejovsky


Abstract
Promoting interoperrable computational linguistics (CL) and natural language processing (NLP) application platforms and interchange-able data formats have contributed improving discoverabilty and accessbility of the openly available NLP software. In this paper, wediscuss the enhanced data visualization capabilities that are also enabled by inter-operating NLP pipelines and interchange formats.For adding openly available visualization tools and graphical annotation tools to the Language Applications Grid (LAPPS Grid) andComputational Linguistics Applications for Multimedia Services (CLAMS) toolboxes, we have developed interchange formats that cancarry annotations and metadata for text and audiovisual source data. We descibe those data formats and present case studies where wesuccessfully adopt open-source visualization tools and combine them with CL tools.
Anthology ID:
2020.lrec-1.893
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
7230–7237
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.893
DOI:
Bibkey:
Cite (ACL):
Kyeongmin Rim, Kelley Lynch, Marc Verhagen, Nancy Ide, and James Pustejovsky. 2020. Interchange Formats for Visualization: LIF and MMIF. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 7230–7237, Marseille, France. European Language Resources Association.
Cite (Informal):
Interchange Formats for Visualization: LIF and MMIF (Rim et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.893.pdf