| 1 |
On the Role of Low-Level Linguistic Tasks for Reading Time Prediction
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) ; 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03303689 ; 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria. pp.452 ; https://cognitivesciencesociety.org/cogsci-2021/ (2021)
|
|
Abstract:
International audience ; It has been shown that complexity metrics, computed by a syntactic parser, is a predictor of human reading time, which is an approximation of human sentence comprehension difficulty. Nevertheless, parsers usually take as input sentences that have already been processed or even manually annotated. We propose to study a more realistic scenario, where the various processing levels (tokenization, PoS and morphology tagging, lemmatization, syntactic parsing and sentence segmentation) are predicted incrementally from raw text. To this end, we propose a versatile modeling framework, we call the Reading Machine, that performs all such linguistic tasks and allows to incorporate cognitive constrains such as incrementality. We illustrate the behavior of this setting through a case study where we test the hypothesis that the complexity metrics computed at different processing levels predicts human reading difficulty, and that when cognitive constraints are applied to the machine (e.g., incrementality), it yields better predictions.
|
|
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences; cognitive modeling; entropy; reading time; surprisal
|
|
URL: https://hal.archives-ouvertes.fr/hal-03303689
https://hal.archives-ouvertes.fr/hal-03303689/file/COGSCI_2021.pdf
https://hal.archives-ouvertes.fr/hal-03303689/document
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
On the Role of Low-level Linguistic Levels for Reading Time Prediction
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Modeling speech act development in early childhood: the role of frequency and linguistic cues
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Large-scale study of speech acts' development using automatic labelling
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Continuous developmental change explains discontinuities in word learning
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03191088 ; 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Modeling the Interaction Between Perception-Based and Production-Based Learning in Children's Early Acquisition of Semantic Knowledge
|
|
|
|
In: Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-03236613 ; Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL), Nov 2021, Punta Cana, Dominican Republic (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Modeling speech act development in early childhood: the role of frequency and linguistic cues
|
|
|
|
In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. ; 43rd Annual Meeting of the Cognitive Science Society. ; https://hal.archives-ouvertes.fr/hal-03236607 ; 43rd Annual Meeting of the Cognitive Science Society., Jul 2021, Vienna, Austria (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data
|
|
|
|
In: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics ; Workshop on Cognitive Modeling and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03312501 ; Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, Jun 2021, Online, Mexico. pp.108-113, ⟨10.18653/v1/2021.cmcl-1.13⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Large-scale study of speech acts' development using automatic labelling
|
|
|
|
In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03234620 ; Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks
|
|
|
|
In: Proceedings of the Workshop on Cognitive Modeling and Computationa ; Workshop on Cognitive Modeling and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03371662 ; Workshop on Cognitive Modeling and Computational Linguistics, Jun 2021, Online, Mexico. pp.200-210, ⟨10.18653/v1/2021.cmcl-1.24⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Modeling speech act development in early childhood: the role of frequency and linguistic cues ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Modeling speech act development in early childhood: the role of frequency and linguistic cues ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
On the Role of Low-level Linguistic Levels for Reading Time Prediction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
On the Role of Low-level Linguistic Levels for Reading Time Prediction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
The Growth of Children’s Semantic and Phonological Networks: Insight from 10 Languages
|
|
|
|
In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03580904 ; Cognitive Science, Wiley, 2020, 44 (7), ⟨10.1111/cogs.12847⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Development of Multi-level Linguistic Alignment in Child-Adult Conversations
|
|
|
|
In: Proceedings of the 11th Workshop on Cognitive Modeling and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03580925 ; Proceedings of the 11th Workshop on Cognitive Modeling and Computational Linguistics, 2020, online, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Word Co-occurrence in Child-directed Speech Predicts Children's Free Word Associations
|
|
|
|
In: Proceedings of the 11th Workshop on Cognitive Modeling and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03580923 ; Proceedings of the 11th Workshop on Cognitive Modeling and Computational Linguistics, 2020, online, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Phoneme learning is influenced by the taxonomic organization of the semantic referents
|
|
|
|
In: Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-02274093 ; Cognitive Science Society, Jul 2019, Montreal, Canada (2019)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Acquiring sounds and meaning jointly in early word learning ; L’apprentissage simultané du son et du sens dans l’acquisition première de la language
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-01774596 ; Linguistics. Ecole normale supérieure - ENS PARIS, 2015. English. ⟨NNT : 2015ENSU0049⟩ (2015)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Self-Consistency as an Inductive Bias in Early Language Acquisition
|
|
|
|
In: Fourtassi, Abdellah; Dunbar, Ewan; & Dupoux, Emmanuel. (2014). Self-Consistency as an Inductive Bias in Early Language Acquisition. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/6g70d1t7 (2014)
|
|
BASE
|
|
Show details
|
|
|
|
|
