Cognitive Modeling and Computational Linguistics (CMCL) 2021

CMCL 2021 will have both oral presentations and poster presentations. The complete program is under definition.

Location and Date

Mexico City, Mexico


June 10, 2021, Mexico City (GMT-5)

  • 9:00–9:15 Introduction
  • 9:15–10:15 Keynote Talk 1: Grounded Language Learning, from Sounds and Images to Meaning - Afra Alishahi

  • 10:15–10:30 Break

  • 10:30–12:00 Oral Presentations 1

    Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words

    Kalyan Ramakrishnan and Fatma Deniz

    Human Sentence Processing: Recurrence or Attention?

    Danny Merkx and Stefan L. Frank

    Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar

    Miloš Stanojevi´c, Shohini Bhattasali, Donald Dunagan, Luca Campanelli, Mark Steedman, Jonathan Brennan and John Hale

  • 12:00–13:00 Lunch break

  • 13:00–14:30 Oral Presentations 2

    A Multinomial Processing Tree Model of RC Attachment

    Pavel Logacev and Noyan Dokudan

    That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models

    Gabriele Sarti, Dominique Brunato and Felice Dell’Orletta

    Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention

    Soo Hyun Ryu and Richard Lewis

  • 14:30–14:45 Break

  • 14:45–15:00 Shared Task Presentation

    CMCL 2021 Shared Task on Eye-Tracking Prediction

    Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot and Enrico Santus

  • 15:00–16:30 Poster Session

    LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors

    Raksha Agarwal and Niladri Chatterjee

    TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning

    for Eye-Tracking Prediction Bai Li and Frank Rudzicz

    LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach

    Yves Bestgen

    Team Ohio State at CMCL 2021 Shared Task: Fine-Tuned RoBERTa for Eye-Tracking Data Prediction

    Byung-Doh Oh

    PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns

    Lavinia Salicchi and Alessandro Lenci

    TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data

    Franck Dary, Alexis Nasr and Abdellah Fourtassi

    MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features

    Shivani Choudhary, Kushagri Tandon, Raksha Agarwal and Niladri Chatterjee

    KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information

    Qi Yu, Aikaterini-Lida Kalouli and Diego Frassinelli

    CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns

    Peter Vickers, Rosa Wainwright, Harish Tayyar Madabushi and Aline Villavicencio

    Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine Learning

    Alisan Balkoca, Abdullah Algan, Cengiz Acarturk and Ça˘grı Çöltekin

    Enhancing Cognitive Models of Emotions with Representation Learning

    Yuting Guo and Jinho D. Choi

    Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction

    Jonathan Dunn and Andrea Nini

    Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication

    Kartik Sharma, Niyati Bafna and Samar Husain

    Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times

    Neil Rathi

    Modeling Sentence Comprehension Deficits in Aphasia: A Computational Evaluation of the Direct-access Model of Retrieval

    Paula Lissón, Dorothea Pregla, Dario Paape, Frank Burchert, Nicole Stadie and Shravan Vasishth

    Sentence Complexity in Context

    Benedetta Iavarone, Dominique Brunato and Felice Dell’Orletta

    Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks

    Mitja Nikolaus and Abdellah Fourtassi

    Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models

    Steven Derby, Barry Devereux and Paul Miller

    Relation Classification with Cognitive Attention Supervision

    Erik McGuire and Noriko Tomuro

    Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks

    Rory Turnbull

    Contributions of Propositional Content and Syntactic Category Information in Sentence Processing

    Byung-Doh Oh and William Schuler

    The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning

    Yuchen Lian, Arianna Bisazza and Tessa Verhoef

    Capturing Phonotactic Learning Biases with a Simple RNN

    Max Nelson, Brandon Prickett and Joe Pater

  • 16:30–17:30 Keynote Talk 2: The Importance of Individualized Text Formats for Readability - Zoya Bylinskii

  • 17:30–17:45 Closing Remarks