Papers by Michael Moortgat
SICK-NL: A Dataset for Dutch Natural Language Inference (2021.eacl-main)
Copied to clipboard
| Challenge: | Having a parallel dataset for Natural Language Inference in Dutch is problematic for some NLP systems. |
| Approach: | They propose to translate a SICK dataset from English into Dutch to compare models for both languages. |
| Outcome: | The proposed dataset compares models on English and Dutch on two tasks. |
SPINDLE: Spinning Raw Text into Lambda Terms with Graph Attention (2023.eacl-demo)
Copied to clipboard
| Challenge: | SPINDLE is an open source Python module that parses text input into programs for meaning composition expressed as terms. |
| Approach: | They describe SPINDLE, an open source Python module that parses text input into programs for meaning composition expressed as terms. |
| Outcome: | The proposed parser captures two orthogonal axes of syntax and provides proof search and visualization tools. |
ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch (2020.lrec-1)
Copied to clipboard
| Challenge: | THEL contains a lexicon of supertags for about 900 000 words in context. |
| Approach: | They propose to extract a lexicon of supertags for 900 000 words in context and provide 72 192 validated derivations on the basis of these types. |
| Outcome: | The proposed dataset contains lexicon of supertags for about 900 000 words in context. |