Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models
@inproceedings{Sap2020RecollectionVI, title={Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models}, author={Maarten Sap and Eric Horvitz and Yejin Choi and Noah A. Smith and James W. Pennebaker}, booktitle={ACL}, year={2020} }
We investigate the use of NLP as a measure of the cognitive processes involved in storytelling, contrasting imagination and recollection of events. To facilitate this, we collect and release Hippocorpus, a dataset of 7,000 stories about imagined and recalled events. We introduce a measure of narrative flow and use this to examine the narratives for imagined and recalled events. Additionally, we measure the differential recruitment of knowledge attributed to semantic memory versus episodic…
9 Citations
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This work proposes M ulti-task super V ised P re-training ( MVP) for natural language generation, and collects a labeled pre-training corpus from 45 datasets over seven generation tasks to pre-train the text generation model MVP.
Broadening Access to Text Analysis by Describing Uncertainty: Preliminary White Paper
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—We describe work in progress on a project that aims to quantify the distortion introduced into real research questions by two kinds of noise: 1) OCR error and 2) inclusion of paratext that isn’t…
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