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 Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 7230–7237
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.893
- DOI:
- 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 Twelfth 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2020.lrec-1.893.pdf