Papers by Richard Moot
New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in French (2024.lrec-main)
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| Challenge: | DACCORD is a dataset for automatic detection of contradictions between sentences . it is the first dataset exclusively dedicated to this task . |
| Approach: | They introduce DACCORD, a dataset in French for automatic detection of contradictions between sentences. |
| Outcome: | The proposed datasets are more challenging than existing datasets for the mainstream task in French. |
SPINDLE: Spinning Raw Text into Lambda Terms with Graph Attention (2023.eacl-demo)
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| 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)
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| 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. |