Papers with mechanistic model
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. |
Finding syntax in human encephalography with beam search (P18-1)
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| Challenge: | RNNGs are generative models of (tree , string ) pairs that evaluate derivational choices . a non-syntactic neural language model yields no reliable effects . |
| Approach: | They propose to combine a probabilistic generative grammar with a parsing procedure that uses it to manage syntactic derivations as it advances from one word to the next. |
| Outcome: | The proposed model derives two amplitude effects when used against human encephalography data. |