---
title: "CMCL 2022 — accepted papers — Elamur Research"
description: "CMCL 2022 — accepted papers: 1 paper in the Elamur Research library (Dublin, Ireland), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/cmcl/2022/"
---
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# 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.

[**16** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/cmcl/2022/#works) · [**19** citations of these works](https://md.research.elamur.ai/free/en/venues/cmcl/2022/#works)**Dublin, Ireland** where it was held**May 2022** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior](https://aclanthology.org/2022.cmcl-1.14/)**Nora Hollenstein, Emmanuele Chersoni, Cassandra Jacobs et al.*15 citations*
2. **[Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences](https://aclanthology.org/2022.cmcl-1.9/)**Joshua Bensemann, Alex Peng, Diana Benavides-Prado et al.*15 citations*
3. **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/)**Jennifer Hu, Roger Levy, Sebastian Schuster*13 citations · our summary*
4. **[Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models](https://aclanthology.org/2022.cmcl-1.11/)**Harshvardhan Srivastava*6 citations*
5. **[HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features](https://aclanthology.org/2022.cmcl-1.13/)**Lavinia Salicchi, Rong Xiang, Yu-Yin Hsu*5 citations*
6. **[Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP](https://aclanthology.org/2022.cmcl-1.4/)**Ece Takmaz, Sandro Pezzelle, Raquel Fernández*5 citations*
7. **[About Time: Do Transformers Learn Temporal Verbal Aspect?](https://aclanthology.org/2022.cmcl-1.10/)**Eleni Metheniti, Tim Van de Cruys, Nabil Hathout*4 citations*
8. **[Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi- and Cross-Lingual Prediction of Human Reading Behavior](https://aclanthology.org/2022.cmcl-1.16/)**Ece Takmaz*3 citations*
9. **[A Neural Model for Compositional Word Embeddings and Sentence Processing](https://aclanthology.org/2022.cmcl-1.2/)**Shalom Lappin, Jean-Philippe Bernardy*2 citations*
10. **[NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space](https://aclanthology.org/2022.cmcl-1.12/)**Joseph Marvin Imperial*2 citations*

## All accepted papers (16)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior](https://aclanthology.org/2022.cmcl-1.14/)**Nora Hollenstein, Emmanuele Chersoni, Cassandra Jacobs et al.*15 citations*
2. **[Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences](https://aclanthology.org/2022.cmcl-1.9/)**Joshua Bensemann, Alex Peng, Diana Benavides-Prado et al.*15 citations*
3. **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/)**Jennifer Hu, Roger Levy, Sebastian Schuster*13 citations · our summary*
4. **[Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models](https://aclanthology.org/2022.cmcl-1.11/)**Harshvardhan Srivastava*6 citations*
5. **[HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features](https://aclanthology.org/2022.cmcl-1.13/)**Lavinia Salicchi, Rong Xiang, Yu-Yin Hsu*5 citations*
6. **[Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP](https://aclanthology.org/2022.cmcl-1.4/)**Ece Takmaz, Sandro Pezzelle, Raquel Fernández*5 citations*
7. **[About Time: Do Transformers Learn Temporal Verbal Aspect?](https://aclanthology.org/2022.cmcl-1.10/)**Eleni Metheniti, Tim Van de Cruys, Nabil Hathout*4 citations*
8. **[Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi- and Cross-Lingual Prediction of Human Reading Behavior](https://aclanthology.org/2022.cmcl-1.16/)**Ece Takmaz*3 citations*
9. **[A Neural Model for Compositional Word Embeddings and Sentence Processing](https://aclanthology.org/2022.cmcl-1.2/)**Shalom Lappin, Jean-Philippe Bernardy*2 citations*
10. **[NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space](https://aclanthology.org/2022.cmcl-1.12/)**Joseph Marvin Imperial*2 citations*
11. **[Codenames as a Game of Co-occurrence Counting](https://aclanthology.org/2022.cmcl-1.5/)**Réka Cserháti, Istvan Kollath, András Kicsi et al.*1 citation*
12. **[Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge](https://aclanthology.org/2022.cmcl-1.1/)**Danny Merkx, Stefan Frank, Mirjam Ernestus*1 citation*
13. **[Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models](https://aclanthology.org/2022.cmcl-1.15/)**Sunit Bhattacharya, Rishu Kumar, Ondrej Bojar*1 citation*
14. **[Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model](https://aclanthology.org/2022.cmcl-1.6/)**Richard Futrell
15. **[Modeling the Relationship between Input Distributions and Learning Trajectories with the Tolerance Principle](https://aclanthology.org/2022.cmcl-1.7/)**Jordan Kodner
16. **[Visually Grounded Interpretation of Noun-Noun Compounds in English](https://aclanthology.org/2022.cmcl-1.3/)**Inga Lang, Lonneke Plas, Malvina Nissim et al.

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Jennifer Hu, Roger Levy, Sebastian Schuster*2022 · 19 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Jennifer Hu**1 work here · 19 citations](https://md.research.elamur.ai/free/en/authors/jennifer-hu/) · [🧑‍🔬**Roger Levy**1 work here · 19 citations](https://md.research.elamur.ai/free/en/authors/roger-levy/) · [🧑‍🔬**Sebastian Schuster**1 work here · 19 citations](https://md.research.elamur.ai/free/en/authors/sebastian-schuster/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 1 work here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous CMCL 2018](https://md.research.elamur.ai/free/en/venues/cmcl/2018/)
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