default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCMLS 2021: Online
- Emmanuele Chersoni, Nora Hollenstein, Cassandra Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2021, Online, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-35-0 - Kalyan Ramakrishnan, Fatma Deniz:
Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words. 1-11 - Danny Merkx
, Stefan L. Frank:
Human Sentence Processing: Recurrence or Attention? 12-22 - Milos Stanojevic, Shohini Bhattasali, Donald Dunagan, Luca Campanelli, Mark Steedman, Jonathan Brennan, John T. Hale:
Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar. 23-38 - Pavel Logacev, Noyan Dokudan:
A Multinomial Processing Tree Model of RC Attachment. 39-47 - Gabriele Sarti, Dominique Brunato, Felice Dell'Orletta:
That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models. 48-60 - Soo-Hyun Ryu, Richard L. Lewis:
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. 61-71 - Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus:
CMCL 2021 Shared Task on Eye-Tracking Prediction. 72-78 - Raksha Agarwal, Niladri Chatterjee:
LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors. 79-84 - Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. 85-89 - Yves Bestgen:
LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach. 90-96 - Byung-Doh Oh:
Team Ohio State at CMCL 2021 Shared Task: Fine-Tuned RoBERTa for Eye-Tracking Data Prediction. 97-101 - Lavinia Salicchi, Alessandro Lenci:
PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns. 102-107 - Franck Dary, Alexis Nasr, Abdellah Fourtassi:
TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data. 108-113 - Shivani Choudhary, Kushagri Tandon, Raksha Agarwal, Niladri Chatterjee:
MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features. 114-119 - Qi Yu, Aikaterini-Lida Kalouli, Diego Frassinelli:
KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information. 120-124 - Peter Vickers, Rosa Wainwright, Harish Tayyar Madabushi, Aline Villavicencio:
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns. 125-133 - Alisan Balkoca, Abdullah Algan, Cengiz Acartürk, Çagri Çöltekin:
Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine Learning. 134-140 - Yuting Guo, Jinho D. Choi:
Enhancing Cognitive Models of Emotions with Representation Learning. 141-148 - Jonathan Dunn, Andrea Nini:
Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction. 149-159 - Kartik Sharma, Niyati Bafna, Samar Husain:
Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication. 160-170 - Neil Rathi:
Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times. 171-176 - Paula Lissón, Dorothea Pregla, Dario Paape, Frank Burchert, Nicole Stadie, Shravan Vasishth:
Modeling Sentence Comprehension Deficits in Aphasia: A Computational Evaluation of the Direct-access Model of Retrieval. 177-185 - Benedetta Iavarone, Dominique Brunato, Felice Dell'Orletta:
Sentence Complexity in Context. 186-199 - Mitja Nikolaus, Abdellah Fourtassi:
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks. 200-210 - Steven Derby, Barry Devereux, Paul Miller:
Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models. 211-221 - Erik McGuire, Noriko Tomuro:
Relation Classification with Cognitive Attention Supervision. 222-232 - Rory Turnbull:
Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks. 233-240 - Byung-Doh Oh, William Schuler:
Contributions of Propositional Content and Syntactic Category Information in Sentence Processing. 241-250
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-29 00:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
