F CO2 Emissions Related to Experiments | Cognitively-informed Natural Language Processing Systems for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
B Precisions on Eye-tracking Metrics and Preprocessing | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
C Multi-task Token-level Regression for Gaze Metrics Prediction | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
E Gaze Metrics Predictions for Garden Path Sentences | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
D Intra-model Similarity for All Models | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
A Linguistic Features | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
F Reproducibility and Environmental Impact | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
3 Complexity Phenomena in Linguistic Annotations and Language Models | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.
4 Representational Similarity in Models of Complexity | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.
5 Gaze-informed Models for Cognitive Processing Prediction | Interpreting Neural Language Models for Linguistic Complexity Assessment Introduction 1 Linguistic Complexity 1.1 Categorizing Linguistic Complexity Measures 1.2 Intrinsic Perspective 1.2.1 Structural Linguistic Complexity 1.2.2 Language Modeling Surprisal 1.3 Extrinsic Perspective 1.3.1 Automatic Readability Assessment 1.3.2 Perceived Complexity Prediction 1.3.3 Gaze Metrics Prediction 1.4 Garden-path Sentences 2 Models of Linguistic Complexity 2.1 Desiderata for Models of Linguistic Complexity 2.2 Neural Language Models: Unsupervised Multitask Learners 2.