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CMCL 2022 will have both oral presentations and poster presentations. The complete program is under definition.
Dublin, Ireland and on Zoom!
<iframe src="https://www.google.com/maps/embed?pb=!1m18!1m12!1m3!1d152515.25333408735!2d-6.385787383888776!3d53.32444313848332!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x48670e80ea27ac2f%3A0xa00c7a9973171a0!2sDublin%2C%20Ireland!5e0!3m2!1sen!2sus!4v1638508842460!5m2!1sen!2sus" width="600" height="450" style="border:0;" allowfullscreen="" loading="lazy"></iframe>Tuesday, May 26th, 2022, Standard Irish Time
09:30 - 09:45 Opening Remarks
09:45 - 10:45 Keynote Talk by Andrea E. Martin: "Explananda in cognitive models of language processing"
10:45 - 11:00 Coffee Break
11:00 - 12:30 Session 1 (Oral Presentations)
- Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences. Joshua Bensemann, Alex Yuxuan Peng, Diana Benavides Prado, Yang Chen, Neset Tan, Paul Michael Corballis, Patricia Riddle and Michael Witbrock
- Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge. Danny Merkx, Stefan Frank and Mirjam Ernestus
- Visually Grounded Interpretation of Noun-Noun Compounds in English. Inga Lang, Lonneke Van Der Plas, Malvina Nissim and Albert Gatt
12:30 - 13:30 Lunch Break
13:30 - 15:00 Session 2 (Oral Presentations)
- A Neural Model for Compositional Word Embeddings and Sentence Processing. Shalom Lappin and Jean-Philippe Bernardy
- Codenames as a Game of Co-occurrence Counting. Reka Cserhati, Istvan Kollath, Andras Kicsi and Gabor Berend
- About Time: Do Transformers Learn Temporal Verbal Aspect? Eleni Metheniti, Tim Van De Cruys and Nabil Hathout
15:00 - 15:15 Coffee Break
15:15 - 15:30 Shared Task Presentation
CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human
Reading Behavior. Nora Hollenstein, Emmanuele Chersoni, Cassandra L Jacobs, Yohei Oseki, Laurent Prevot and Enrico Santus
15:30 - 17:00 Poster Session
- Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model. Richard Futrell
- Predicting scalar diversity with context-driven uncertainty over alternatives. Jennifer Hu, Roger P. Levy and Sebastian Schuster
- Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP. Ece Takmaz, Sandro Pezzelle and Raquel Fernandez
- Modeling the Relationship between Input Distributions and Learning Trajectories with the Tolerance Principle. Jordan Kodner
- NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space. Joseph Marvin Imperial
- Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi and Cross-Lingual Prediction of Human Reading Behavior. Ece Takmaz
- Team UFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models. Sunit Bhattacharya, Rishu Kumar and Ondrej Bojar
- HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features. Lavinia Salicchi, Rong Xiang and Yu-Yin Hsu
- Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models. Harshvardhan Srivastava
- A Bayesian approach to phases for frequency-tagged encephalography in the cognitive neuroscience of language. Sydney Dimmock, Cian O'Donnell, Conor Houghton (extended abstract presentation)
- Learning Non-Local Phonological Alternations via Automatic Creation of Tiers. Caleb Belth. (extended abstract presentation)
17:00 - 18:00 Keynote Talk by Vera Demberg: "Recent findings in pragmatic processing and their implications for computational modelling"
18:00 - 18:15 Closing Remarks