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Hits 821 – 830 of 830

821
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
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822
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ...
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823
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification ...
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824
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map ...
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825
The Low-Dimensional Linear Geometry of Contextualized Word Representations ...
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826
Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage? ...
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827
Linguistic Dependencies and Statistical Dependence ...
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828
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ...
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829
Coreference-aware Surprisal Predicts Brain Response ...
Abstract: Anthology paper link: https://aclanthology.org/2021.findings-emnlp.285.pdf Abstract: Recent evidence supports a role for coreference processing in guiding human expectations about upcoming words during reading, based on covariation between reading times and word surprisal estimated by a coreference-aware semantic processing model (Jaffe et al., 2020). The present study reproduces and elaborates on this finding by (1) enabling the parser to process subword information that might better approximate human morphological knowledge, and (2) extending evaluation of coreference effects from self-paced reading to human brain imaging data. Results show that an expectation-based processing effect of coreference is still evident even in the presence of the stronger psycholinguistic baseline provided by the subword model, and that the coreference effect is observed in both self-paced reading and fMRI data, providing evidence of the effects' robustness. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/39792-coreference-aware-surprisal-predicts-brain-response
https://dx.doi.org/10.48448/036p-kx34
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830
Pragmatic competence of pre-trained language models through the lens of discourse connectives ...
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