Abstract is missing.
- Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract WordsKalyan Ramakrishnan, Fatma Deniz. 1-11 [doi]
- Human Sentence Processing: Recurrence or Attention?Danny Merkx, Stefan L. Frank. 12-22 [doi]
- Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial GrammarMilos Stanojevic, Shohini Bhattasali, Donald Dunagan, Luca Campanelli, Mark Steedman, Jonathan Brennan, John Hale. 23-38 [doi]
- A Multinomial Processing Tree Model of RC AttachmentPavel Logacev, Noyan Dokudan. 39-47 [doi]
- That Looks Hard: Characterizing Linguistic Complexity in Humans and Language ModelsGabriele Sarti, Dominique Brunato, Felice dell'Orletta. 48-60 [doi]
- Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and AttentionSoo-Hyun Ryu, Richard L. Lewis. 61-71 [doi]
- CMCL 2021 Shared Task on Eye-Tracking PredictionNora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot 0001, Enrico Santus. 72-78 [doi]
- LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree RegressorsRaksha Agarwal, Niladri Chatterjee. 79-84 [doi]
- TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking PredictionBai Li, Frank Rudzicz. 85-89 [doi]
- LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree ApproachYves Bestgen. 90-96 [doi]
- Team Ohio State at CMCL 2021 Shared Task: Fine-Tuned RoBERTa for Eye-Tracking Data PredictionByung-Doh Oh. 97-101 [doi]
- PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading PatternsLavinia Salicchi, Alessandro Lenci. 102-107 [doi]
- TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking DataFranck Dary, Alexis Nasr, Abdellah Fourtassi. 108-113 [doi]
- MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic FeaturesShivani Choudhary, Kushagri Tandon, Raksha Agarwal, Niladri Chatterjee. 114-119 [doi]
- KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral InformationQi Yu, Aikaterini-Lida Kalouli, Diego Frassinelli. 120-124 [doi]
- CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking PatternsPeter Vickers, Rosa Wainwright, Harish Tayyar Madabushi, Aline Villavicencio. 125-133 [doi]
- Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine LearningAlisan Balkoca, Abdullah Algan, Cengiz Acartürk, Çagri Çöltekin. 134-140 [doi]
- Enhancing Cognitive Models of Emotions with Representation LearningYuting Guo, Jinho D. Choi. 141-148 [doi]
- Production vs Perception: The Role of Individuality in Usage-Based Grammar InductionJonathan Dunn, Andrea Nini. 149-159 [doi]
- Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of CommunicationKartik Sharma, Niyati Bafna, Samar Husain. 160-170 [doi]
- Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading TimesNeil Rathi. 171-176 [doi]
- Modeling Sentence Comprehension Deficits in Aphasia: A Computational Evaluation of the Direct-access Model of RetrievalPaula Lissón, Dorothea Pregla, Dario Paape, Frank Burchert, Nicole Stadie, Shravan Vasishth. 177-185 [doi]
- Sentence Complexity in ContextBenedetta Iavarone, Dominique Brunato, Felice dell'Orletta. 186-199 [doi]
- Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural NetworksMitja Nikolaus, Abdellah Fourtassi. 200-210 [doi]
- Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language ModelsSteven Derby, Barry Devereux, Paul Miller 0003. 211-221 [doi]
- Relation Classification with Cognitive Attention SupervisionErik McGuire, Noriko Tomuro. 222-232 [doi]
- Graph-theoretic Properties of the Class of Phonological Neighbourhood NetworksRory Turnbull. 233-240 [doi]
- Contributions of Propositional Content and Syntactic Category Information in Sentence ProcessingByung-Doh Oh, William Schuler. 241-250 [doi]