Papers by Berta Franzluebbers
Multipath parsing in the brain (2024.acl-long)
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| Challenge: | a major unsolved problem in computational psycholinguistics is determining whether human comprehension considers a single analysis path 1 at a time. |
| Approach: | They compare syntactic surprisal from a state-of-the-art dependency parser with fMRI data . they find evidence for multipath parsing in English and Chinese data based on fm data a major unsolved problem in computational psycholinguistics is determining whether human sentence comprehension considers a single analysis path 1 at a time . |
| Outcome: | The proposed model shows that human parsing is multipath, with a higher r2 increase for multipath surprisal than single-path surpresal. |
The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension (2020.lrec-1)
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| Challenge: | "naturalistic" stimuli are now offering a new way to study language comprehension in the brain, in synergy with natural language processing tools. |
| Approach: | They propose to use a set of datasets from a story in English to test new linguistic and computational hypotheses about natural language comprehension in the brain. |
| Outcome: | The Alice Datasets are a set of datasets based on magnetic resonance and electrophysiological data, collected while participants heard a story in English. |