NLPExplorer

CMCL - 2022

Total Papers:- 17

Total Papers accross all years:- 129

Total Citations :- 0

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Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP

Ece Takmaz | Sandro Pezzelle | Raquel Fernández |

NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space

Joseph Marvin Imperial |

About Time: Do Transformers Learn Temporal Verbal Aspect?

Eleni Metheniti | Tim Van De Cruys | Nabil Hathout |

Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model

Richard Futrell |

A Neural Model for Compositional Word Embeddings and Sentence Processing

Shalom Lappin | Jean-Philippe Bernardy |

HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features

Lavinia Salicchi | Rong Xiang | Yu-Yin Hsu |

Codenames as a Game of Co-occurrence Counting

Réka Cserháti | Istvan Kollath | András Kicsi | Gábor Berend |

Modeling the Relationship between Input Distributions and Learning Trajectories with the Tolerance Principle

Jordan Kodner |

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics

Visually Grounded Interpretation of Noun-Noun Compounds in English

Inga Lang | Lonneke Plas | Malvina Nissim | Albert Gatt |

Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences

Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models

Harshvardhan Srivastava |

Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models

Sunit Bhattacharya | Rishu Kumar | Ondrej Bojar |

Predicting scalar diversity with context-driven uncertainty over alternatives

Jennifer Hu | Roger Levy | Sebastian Schuster |