Frances Yung — accepted AI-conference papers

2024

DiscoGeM 2.0: A Parallel Corpus of English, German, French and Czech Implicit Discourse Relations

Frances Yung, Merel Scholman, Sarka Zikanova, Vera Demberg

COLING 2024main

We present DiscoGeM 2.0, a crowdsourced, parallel corpus of 12,834 implicit discourse relations, with English, German, French and Czech data. We propose and validate a new single-step crowdsourcing annotation method and apply it to collect new annotations in German, French and Czech. The corpus was…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2022

Establishing Annotation Quality in Multi-label Annotations

Marian Marchal, Merel Scholman, Frances Yung, Vera Demberg

COLING 2022main

In many linguistic fields requiring annotated data, multiple interpretations of a single item are possible. Multi-label annotations more accurately reflect this possibility. However, allowing for multi-label annotations also affects the chance that two coders agree with each other. Calculating inter…

Cited by 19 Source ↗PDF ↗Scholar ↗