On the public citation graph
Learnability and semantic universals
0 signed · 133 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3openalex-snapshot
Chapter 12: What does the Anthropocene hold for citizenship?
inferredcites →https://doi.org/10.1007/978-3-319-28749-2openalex-snapshot
Quantifiers and Cognition: Logical and Computational Perspectives
inferredcites →https://doi.org/10.1007/978-3-319-44330-0openalex-snapshot
Handbook of Quantifiers in Natural Language: Volume II
inferredcites →https://doi.org/10.1007/978-3-540-75144-1_9openalex-snapshot
The Problem of Learning the Semantics of Quantifiers
inferredcites →https://doi.org/10.1007/978-3-642-00665-4_16openalex-snapshot
Identification through Inductive Verification
inferredcites →https://doi.org/10.1007/978-94-007-2681-9openalex-snapshot
Handbook of Quantifiers in Natural Language
inferredcites →https://doi.org/10.1007/978-94-009-4540-1openalex-snapshot
Essays in Logical Semantics
inferredcites →https://doi.org/10.1007/978-94-017-2817-1openalex-snapshot
Quantification in Natural Languages
inferredcites →https://doi.org/10.1007/bf00350139openalex-snapshot
Generalized quantifiers and natural language
inferredcites →https://doi.org/10.1007/bf00630273openalex-snapshot
A semantic characterization of natural language determiners
inferredcites →https://doi.org/10.1007/bf00637410openalex-snapshot
Logical constants in quantifier languages
inferredcites →https://doi.org/10.1007/s10849-016-9239-6openalex-snapshot
Some Properties of Iterated Languages
inferredcites →https://doi.org/10.1007/s10988-013-9132-6openalex-snapshot
Iterating semantic automata
inferredcites →https://doi.org/10.1007/s11050-008-9039-xopenalex-snapshot
On the grammar and processing of proportional quantifiers: most versus more than half
inferredcites →https://doi.org/10.1016/0893-6080(88)90007-xopenalex-snapshot
Generalization of backpropagation with application to a recurrent gas market model
inferredcites →https://doi.org/10.1016/b978-0-12-801522-3.00018-5openalex-snapshot
Neural Networks and Deep Learning
inferredcites →https://doi.org/10.1016/b978-044481714-3/50020-5openalex-snapshot
Generalized Quantifiers in Linguistics and Logic*
inferredcites →https://doi.org/10.1016/j.neuropsychologia.2005.02.012openalex-snapshot
Neural basis for generalized quantifier comprehension
inferredcites →https://doi.org/10.1016/s0166-4115(97)80111-2openalex-snapshot
Serial Order: A Parallel Distributed Processing Approach
inferredcites →https://doi.org/10.1017/cbo9780511611803.004openalex-snapshot
Syntactic categories and semantic type
inferredcites →https://doi.org/10.1017/s0022226704002762openalex-snapshot
Parts-of-speech systems and word order
inferredcites →https://doi.org/10.1017/s1351324918000128openalex-snapshot
Learning quantification from images: A structured neural architecture
inferredcites →https://doi.org/10.1037/a0039980openalex-snapshot
The logical primitives of thought: Empirical foundations for compositional cognitive models.
inferredcites →https://doi.org/10.1038/35036586openalex-snapshot
Minimization of Boolean complexity in human concept learning
inferredcites →https://doi.org/10.1038/nn2024openalex-snapshot
Prefrontal cortex and basal ganglia control access to working memory
inferredcites →https://doi.org/10.1073/pnas.1601341113openalex-snapshot
Cross-linguistic patterns in the acquisition of quantifiers
inferredcites →https://doi.org/10.1075/sl.1.1.04dixopenalex-snapshot
Where Have all the Adjectives Gone?*
inferredcites →https://doi.org/10.1093/jos/14.1.1openalex-snapshot
Bare plurals, bare conditionals, and only
inferredcites →https://doi.org/10.1093/jos/ffs014openalex-snapshot
Conservativity and Learnability of Determiners
inferredcites →https://doi.org/10.1093/jos/ffx018openalex-snapshot
Determiners, Conservativity, Witnesses
inferredcites →https://doi.org/10.1093/jos/ffz001openalex-snapshot
Connecting Content and Logical Words
inferredcites →https://doi.org/10.1093/jos/ffz019openalex-snapshot
An Explanation of the Veridical Uniformity Universal
inferredcites →https://doi.org/10.1109/tpami.2016.2599174openalex-snapshot
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
inferredcites →https://doi.org/10.1111/j.1551-6709.2009.01078.xopenalex-snapshot
Comprehension of Simple Quantifiers: Empirical Evaluation of a Computational Model
inferredcites →https://doi.org/10.1111/j.1755-2567.1966.tb00600.xopenalex-snapshot
First Order Predicate Logic with Generalized Quantifiers
inferredcites →https://doi.org/10.1126/science.1192788openalex-snapshot
How to Grow a Mind: Statistics, Structure, and Abstraction
inferredcites →https://doi.org/10.1126/science.1218811openalex-snapshot
Kinship Categories Across Languages Reflect General Communicative Principles
inferredcites →https://doi.org/10.1162/002438902317382189openalex-snapshot
Antecedent-Contained Deletion and the Copy Theory of Movement
inferredcites →https://doi.org/10.1163/9781780523750_005openalex-snapshot
Most Meanings Are Superlative
inferredcites →https://doi.org/10.1353/lan.2016.0016openalex-snapshot
On measurement and quantification: The case of most and more than half
inferredcites →https://doi.org/10.1515/tlir.19.1-2.9openalex-snapshot
Empirical assessment of stimulus poverty arguments
inferredcites →https://doi.org/10.18653/v1/w16-3211openalex-snapshot
“Look, some Green Circles!”: Learning to Quantify from Images
inferredcites →https://doi.org/10.3389/fncom.2011.00001openalex-snapshot
Mechanisms Gating the Flow of Information in the Cortex: What They Might Look Like and What Their Uses may be
inferredcites →https://doi.org/10.4064/fm-44-1-12-36openalex-snapshot
On a generalization of quantifiers
inferredcites →https://doi.org/10.4230/lipics.fun.2016.3openalex-snapshot
Generating Sequences With Recurrent Neural Networks
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1602.02410openalex-snapshot
Exploring the Limits of Language Modeling
inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot
TensorFlow: A system for large-scale machine learning
inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
inferredcites →https://doi.org/10.5840/jphil201010723openalex-snapshot
Quantifiers in Language and Logic
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
inferredcites →https://doi.org/10.7551/mitpress/5237.001.0001openalex-snapshot
Parallel Distributed Processing
inferredcites →https://doi.org/10.82308/49932openalex-snapshot
Artificial neural networks and their application to sequence recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-88708-7_15openalex-snapshot
Assertion, Rejection, and Semantic Universals
inferred← citeshttps://doi.org/10.1007/978-3-031-15940-4_8openalex-snapshot
*Shknowing: Constraints on the Semantics of Clause-Embedding Predicates
inferred← citeshttps://doi.org/10.1007/978-3-031-43977-3_5openalex-snapshot
Contrafactives and Learnability: An Experiment with Propositional Constants
inferred← citeshttps://doi.org/10.1007/s10579-022-09578-4openalex-snapshot
The semantically annotated corpus of Polish quantificational expressions
inferred← citeshttps://doi.org/10.1007/s10849-023-09401-5openalex-snapshot
Convexity and Monotonicity in Language Coordination: Simulating the Emergence of Semantic Universals in Populations of Cognitive Agents
inferred← citeshttps://doi.org/10.1007/s10849-026-09469-9openalex-snapshot
Is Hyperbole a Scalar Inference?
inferred← citeshttps://doi.org/10.1007/s10988-022-09362-1openalex-snapshot
Update rules and semantic universals
inferred← citeshttps://doi.org/10.1007/s10988-025-09437-9openalex-snapshot
Towards a pragmatic explanation for the prevalence of upward-monotonicity in natural language: some results on communicative stability, the strongest answer condition, and exhaustification
inferred← citeshttps://doi.org/10.1007/s10992-022-09685-1openalex-snapshot
A Simple Logic of Concepts
inferred← citeshttps://doi.org/10.1007/s10992-023-09708-5openalex-snapshot
The Logic of Lexical Connectives
inferred← citeshttps://doi.org/10.1007/s11050-019-09152-9openalex-snapshot
Picky predicates: why believe doesn’t like interrogative complements, and other puzzles
inferred← citeshttps://doi.org/10.1007/s11050-023-09209-wopenalex-snapshot
Psycholinguistic evidence for restricted quantification
inferred← citeshttps://doi.org/10.1007/s11098-021-01727-9openalex-snapshot
What’s positive and negative about generics: a constrained indexical approach
inferred← citeshttps://doi.org/10.1016/j.cognition.2019.104076openalex-snapshot
Ease of learning explains semantic universals
inferred← citeshttps://doi.org/10.1016/j.cognition.2022.105013openalex-snapshot
Computational complexity explains neural differences in quantifier verification
inferred← citeshttps://doi.org/10.1016/j.cognition.2022.105150openalex-snapshot
Quantifiers satisfying semantic universals have shorter minimal description length
inferred← citeshttps://doi.org/10.1016/j.cognition.2026.106523openalex-snapshot
Adult learning of a novel quantifier tracks semantic universals
inferred← citeshttps://doi.org/10.1016/j.jml.2025.104675openalex-snapshot
LLMs model how humans induce logically structured rules
inferred← citeshttps://doi.org/10.1080/15475441.2026.2702526openalex-snapshot
Logic and felicity in the face of intellectual disability: linguistic scales and Williams syndrome
inferred← citeshttps://doi.org/10.1080/23273798.2023.2236253openalex-snapshot
The interplay of computational complexity and memory load during quantifier verification
inferred← citeshttps://doi.org/10.1093/jos/ffz019openalex-snapshot
An Explanation of the Veridical Uniformity Universal
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.001.0001openalex-snapshot
From Perception to Communication
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.002.0009openalex-snapshot
How to read this book
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.002.0010openalex-snapshot
Symbols and notations used
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0002openalex-snapshot
From perception to intensionality
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0003openalex-snapshot
From event perception and action to information states and information exchange
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0004openalex-snapshot
Grammar in a theory of action
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0005openalex-snapshot
Reference and mental states
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0006openalex-snapshot
Frames and descriptions
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0007openalex-snapshot
Modality and intensionality without possible worlds
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0008openalex-snapshot
Witness-based quantification
inferred← citeshttps://doi.org/10.1093/oso/9780192871312.003.0009openalex-snapshot
Type-based underspecification
inferred← citeshttps://doi.org/10.1101/2024.10.31.621071openalex-snapshot
WhaleLM: Finding Structure and Information in Sperm Whale Vocalizations and Behavior with Machine Learning
inferred← citeshttps://doi.org/10.1111/cogs.13027openalex-snapshot
Monotone Quantifiers Emerge via Iterated Learning
inferred← citeshttps://doi.org/10.1111/cogs.13346openalex-snapshot
Questions About Quantifiers: Symbolic and Nonsymbolic Quantity Processing by the Brain
inferred← citeshttps://doi.org/10.1111/cogs.13424openalex-snapshot
Recursive Numeral Systems Optimize the Trade‐off Between Lexicon Size and Average Morphosyntactic Complexity
inferred← citeshttps://doi.org/10.1111/lnc3.12308openalex-snapshot
The semantics of question‐embedding predicates
inferred← citeshttps://doi.org/10.1162/ling_a_00461openalex-snapshot
The Informativeness/Complexity Trade-Off in the Domain of Boolean Connectives
inferred← citeshttps://doi.org/10.1162/opmi.a.313openalex-snapshot
An Efficient Communication Analysis of Modal Typology
inferred← citeshttps://doi.org/10.12775/3991-1.045openalex-snapshot
Environmental constraints in the evolution of scalar concepts: Road to most
inferred← citeshttps://doi.org/10.1515/tl-2024-2009openalex-snapshot
Cross-linguistic insights in the theory of semantics and its interface with syntax
inferred← citeshttps://doi.org/10.16995/glossa.6566openalex-snapshot
Learning and the typology of word order: a model of the Final-over-Final Condition
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.359openalex-snapshot
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
inferred← citeshttps://doi.org/10.18653/v1/2022.sigtyp-1openalex-snapshot
Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
inferred← citeshttps://doi.org/10.18653/v1/2022.sigtyp-1.6openalex-snapshot
A Database for Modal Semantic Typology
inferred← citeshttps://doi.org/10.18653/v1/2023.genbench-1.15openalex-snapshot
GQG: Generalized Quantifier Generalization - A Dataset for Evaluating Quantifier Semantics Understanding in Language Models
inferred← citeshttps://doi.org/10.18653/v1/2023.starsem-1.22openalex-snapshot
Limits for learning with language models
inferred← citeshttps://doi.org/10.18653/v1/w19-2916openalex-snapshot
Neural Models of the Psychosemantics of ‘Most’
inferred← citeshttps://doi.org/10.2139/ssrn.5352978openalex-snapshot
Does Ease of Learning Explain Quantifier Universals?
inferred← citeshttps://doi.org/10.31234/osf.io/8swtdopenalex-snapshot
The emergence of monotone quantifiers via iterated learning
inferred← citeshttps://doi.org/10.3390/e23101335openalex-snapshot
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals
inferred← citeshttps://doi.org/10.3765/elm.3.5810openalex-snapshot
Contrafactives, learnability, and production
inferred← citeshttps://doi.org/10.3765/sp.14.5openalex-snapshot
Explaining gaps in the logical lexicon of natural languages: A decision-theoretic perspective on the square of Aristotle
inferred← citeshttps://doi.org/10.3765/sp.15.4openalex-snapshot
Referential transparency as the proper treatment for quantification
inferred← citeshttps://doi.org/10.5964/bioling.13153openalex-snapshot
Why large language models are poor theories of human linguistic cognition: A reply to Piantadosi
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.