Evidence map›Paper›PMID 34379334›Full record

ArticleCognitive science2021

Parsing as a Cue-Based Retrieval Model.

Jakub Dotlačil

Abstract read
In one paragraph

Article in Cognitive science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Eye movements reveal a dissociation between prediction and structural processing difficulty in language comprehension.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Modeling Memory Effects in a Head-Final Language With Category Locality.Open mind : discoveries in cognitive science · 2026
    Article
  4. The Plausibility of Sampling as an Algorithmic Theory of Sentence Processing.Open mind : discoveries in cognitive science · 2023
    Article
  5. Robust Effects of Working Memory Demand during Naturalistic Language Comprehension in Language-Selective Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jakub DotlačilUtrecht Institute of Linguistics, Utrecht University.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) VC.GW17.112 / 6216
6 · The paper itself

Abstract

This paper develops a novel psycholinguistic parser and tests it against experimental and corpus reading data. The parser builds on the recent research into memory structures, which argues that memory retrieval is content-addressable and cue-based. It is shown that the theory of cue-based memory systems can be combined with transition-based parsing to produce a parser that, when combined with the cognitive architecture ACT-R, can model reading and predict online behavioral measures (reading times and regressions). The parser's modeling capacities are tested against self-paced reading experimental data (Grodner & Gibson, 2005), eye-tracking experimental data (Staub, 2011), and a self-paced reading corpus (Futrell et al., 2018).

Indexed as

CuesPsycholinguisticsHumansMemorySoftwareACT-RComputational psycholinguisticsCue-based retrievalMemory retrievalModeling reading dataProcessing

Identifiers

PMID34379334
PMCPMC8459291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.