Papers by Kees Van Deemter
Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation (2023.starsem-1)
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| Challenge: | Logical formulae are essential for scholars in many fields, including linguistics and artificial intelligence. |
| Approach: | They propose to use a Quantified Boolean Formulae (QBFs) problem to find the shortest formulae as input for a "logic-to-text" generation system. |
| Outcome: | The proposed approach improves the comprehensibility and fluency of the generated texts. |
Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems (2022.acl-long)
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| Challenge: | In recent years, neural models have outperformed rule-based and classic approaches in NLG. |
| Approach: | They evaluate two English datasets and evaluate their performance using automatic and human evaluations. |
| Outcome: | The proposed model outperforms rule-based and classic approaches on two English datasets and is compared with human-based models. |
Intrinsic Task-based Evaluation for Referring Expression Generation (2024.acl-long)
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| Challenge: | Referring Expression Generation (REG) models generate referring expressions that refer to referents at different points in a discourse. |
| Approach: | They propose to use a purely ratings-based human evaluation to evaluate REG models by completing two meta-level tasks. |
| Outcome: | The proposed evaluation makes the models more reliable and discriminable, and improves the quality of the REs. |