Papers by Katrien Beuls
Language Acquisition through Intention Reading and Pattern Finding (2022.coling-1)
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| Challenge: | a faithful computational operationalisation of the underlying mechanisms is still lacking. |
| Approach: | They propose a mechanistic model of intention reading and its integration with pattern finding capacities to model the intention reading process and their model of pattern finding. |
| Outcome: | The proposed model integrates intention reading and pattern finding processes with linguistic schemata that generalise over form and meaning. |
Modelling Language Acquisition through Syntactico-Semantic Pattern Finding (2023.findings-eacl)
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| Challenge: | Usage-based theories of language acquisition have documented the processes by which children acquire language through communicative interaction. |
| Approach: | They propose a method for learning grammars based on similarities and differences in linguistic observations alone. |
| Outcome: | The proposed method is able to learn compositional lexical and item-based constructions of variable extent and degree of abstraction, along with a network of emergent syntactic categories. |
A Benchmark for Recipe Understanding in Artificial Agents (2024.lrec-main)
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Jens Nevens, Robin de Haes, Rachel Ringe, Mihai Pomarlan, Robert Porzel, Katrien Beuls, Paul van Eecke
| Challenge: | a benchmark has been designed to evaluate whether artificial agents are able to understand how to perform everyday activities. |
| Approach: | They propose a benchmark task that maps a recipe to a set of cooking actions that are precise enough to be executed in the simulated kitchen. |
| Outcome: | The proposed benchmark consists of mapping a recipe to a set of cooking actions that is precise enough to be executed in the simulated kitchen and yields the desired dish. |