Papers with processing difficulty

2 papers
The Natural Stories Corpus (L18-1)

Copied to clipboard

Challenge: Existing corpora of naturalistic text do not contain the low-frequency syntactic constructions needed to distinguish between theories.
Approach: They propose to compare models of language processing by comparing their ability to predict behavioral and neural measures of processing difficulty to corpora of naturalistic text.
Outcome: The proposed corpus contains low-frequency syntactic constructions while sounding fluent to native speakers.
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans (2021.acl-long)

Copied to clipboard

Challenge: Using by-word reaction time data, we compare incremental processing in humans and neural language models across a range of structural phenomena.
Approach: They propose to scale up incremental processing in humans and language models by collecting by-word reaction time data for 16 different syntactic test suites.
Outcome: The proposed model outputs match human and model accuracy scores, but underpredict the difference in magnitude of incremental processing difficulty between grammatical and ungrammatically-spaced sentences.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations