Papers by Martha White
From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli? (2020.findings-emnlp)
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| Challenge: | LSTMs are often used to measure event related potentials, but are they able to generalize to new data in a human-like way? |
| Approach: | They asked whether an LSTM model represents a language sample with degraded semantic or syntactic information and whether it resembles the brain's reaction to the stimuli. |
| Outcome: | The results suggest that LSTMs and human brain handle nonsensical data similarly. |