K-SNACS Dataset and Guidelines

Korean Semantic Network of Adposition and Case Supersense

Dataset

File: little_prince_ko.tsv

Data Version:

• Current: 1.0
• Compatible with K-SNACS Guidelines v0.9

Data Info:

• Title: 어린 왕자 (erin wangca) "The Little Prince"
• Author: Atoine de Saint-Exupéry
• Original Language: French (Le Petit Prince)
• Genre: Childrens literature, Novella

Column Description:

• doc_id: chapter number, starts at 1
• sent_id: sentence id, starts at 1
• token_id: token id, starts at 1. Stacked postpositions receive token_id-N designation, where N is a sequencial value starting at 1 (as an example see doc_id 1, sent_id 14, token_id 1).
• form: word form
• morph: morphological analysis obtained from KOMA Tagger.
• p: postposition
• gold_scene: gold adjudicated scene role label
• gold_function: gold adjudicated function label

License: This dataset's supersense annotations are licensed under CC BY 4.0 (Creative Commons Attribution-ShareAlike 4.0 International license).

K-SNACS Guidelines

File: k-snacs-guideline-appendix-v0.9.pdf

Guideline Version:

• Current: 0.9
• Compatible with English SNACS v2.5
• Please note that this document is an appendix to the above English SNACS guidelines, including only language-specific information that merits further detailing. For full definitions of labels and use cases, please refer to English guidelines.

Paper

Please cite the following when using this data:

Hwang et al., 2020:

Hwang, Jena D., Hanwool Choe, Na-Rae Han, and Nathan Schneider. "K-SNACS: Annotating Korean adposition semantics." In Proceedings of the Second International Workshop on Designing Meaning Representations. 2020.

K-SNACS Team

Key Collaborators:

• Jena Hwang - Allen Institute for AI
• Na-Rae Han - University Pittsburgh
• Hanwool Choe - Georgetown University
• Nathan Schneider - Georgetown University

Special Thanks to:

• Vivek Srikumar - University of Utah
• Austin Blodgett - Georgetown University

This research was supported in part by:

• NSF award IIS-1812778
• BSF grant 2016375