CMCL 2022 — accepted papers
CMCL 2022 is the 2022 edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL), held in Dublin, Ireland, May 2022 (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 16 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
16papers in the proceedings 1work in our library 19citations of these works Dublin, Irelandwhere it was held May 2022when
Most cited papers
- CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading BehaviorNora Hollenstein, Emmanuele Chersoni, Cassandra Jacobs et al.15 citations
- Eye Gaze and Self-attention: How Humans and Transformers Attend Words in SentencesJoshua Bensemann, Alex Peng, Diana Benavides-Prado et al.15 citations
- Predicting scalar diversity with context-driven uncertainty over alternativesJennifer Hu, Roger Levy, Sebastian Schuster13 citations · our summary
- Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer ModelsHarshvardhan Srivastava6 citations
- HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic FeaturesLavinia Salicchi, Rong Xiang, Yu-Yin Hsu5 citations
- Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIPEce Takmaz, Sandro Pezzelle, Raquel Fernández5 citations
- About Time: Do Transformers Learn Temporal Verbal Aspect?Eleni Metheniti, Tim Van de Cruys, Nabil Hathout4 citations
- A Neural Model for Compositional Word Embeddings and Sentence ProcessingShalom Lappin, Jean-Philippe Bernardy2 citations
- NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language SpaceJoseph Marvin Imperial2 citations
All accepted papers (16)
- CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading BehaviorNora Hollenstein, Emmanuele Chersoni, Cassandra Jacobs et al.15 citations
- Eye Gaze and Self-attention: How Humans and Transformers Attend Words in SentencesJoshua Bensemann, Alex Peng, Diana Benavides-Prado et al.15 citations
- Predicting scalar diversity with context-driven uncertainty over alternativesJennifer Hu, Roger Levy, Sebastian Schuster13 citations · our summary
- Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer ModelsHarshvardhan Srivastava6 citations
- HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic FeaturesLavinia Salicchi, Rong Xiang, Yu-Yin Hsu5 citations
- Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIPEce Takmaz, Sandro Pezzelle, Raquel Fernández5 citations
- About Time: Do Transformers Learn Temporal Verbal Aspect?Eleni Metheniti, Tim Van de Cruys, Nabil Hathout4 citations
- A Neural Model for Compositional Word Embeddings and Sentence ProcessingShalom Lappin, Jean-Philippe Bernardy2 citations
- NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language SpaceJoseph Marvin Imperial2 citations
- Codenames as a Game of Co-occurrence CountingRéka Cserháti, Istvan Kollath, András Kicsi et al.1 citation
- Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledgeDanny Merkx, Stefan Frank, Mirjam Ernestus1 citation
- Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language ModelsSunit Bhattacharya, Rishu Kumar, Ondrej Bojar1 citation
- Visually Grounded Interpretation of Noun-Noun Compounds in EnglishInga Lang, Lonneke Plas, Malvina Nissim et al.
Papers with our summary in our library (1)
- Predicting scalar diversity with context-driven uncertainty over alternativesWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Jennifer Hu, Roger Levy, Sebastian Schuster2022 · 19 citations
Fields
Arts and Humanities (1)Computer Science (1)Psychology (1)
Top authors
🧑🔬Jennifer Hu1 work here · 19 citations🧑🔬Roger Levy1 work here · 19 citations🧑🔬Sebastian Schuster1 work here · 19 citations
Top institutions
🎓New York UniversityNew York ·
United States1 work here🎓Massachusetts Institute of TechnologyCambridge ·
United States1 work here
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