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What makes some sentences more memorable than others? In this work, we build on past work in image and word memorability and conduct a large-scale sentence memorability experiment with responses from 500 participants for 2,500 target sentences. We find that sentences vary in their intrinsic memorability. We predict the memorability of sentences from a variety of word- and sentence-level features, including representations from artificial large language models and the information-theoretic measure of surprisal. We find that the best predictor of sentence memorability is the presence of individually memorable words, but that in the absence of such words, sentence-level features predict sentence memorability. This suggests that otherwise forgettable words can together create memorable compositional meanings that remain in memory.

CogSci 2023

Context-sensitive features predict sentence memorability in the absence of memorable words

### Welcome to CogSci Conference 2025!

The 47th Annual Meeting of the Cognitive Science Society was a hybrid meeting held in San Francisco. 

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#### About

The Cognitive Science Society brings together researchers from around the world who hold a common goal: understanding the nature of the human mind. The mission of the Society is to promote Cognitive Science as a discipline, and to foster scientific interchange among researchers in various areas of study, including Artificial Intelligence, Linguistics, Anthropology, Psychology, Neuroscience, Philosophy, and Education.

The Society is a non-profit professional organization and its activities include sponsoring an annual conference and publishing the journals Cognitive Science and TopiCS.

#### Our History 

* **Society Creation**<br>
The Society was incorporated as a 501(c)(3) non-profit professional organization in Massachusetts in 1979. The organizing committee included Roger Schank, Allan Collins, Donald Norman, and a number of other scholars from psychology, linguistics, computer science, and philosophy. 
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* **Conference Creation**<br>
The first conference on cognitive science was held at La Jolla, California in August, 1979, and has occurred annually since then. The proceedings of each conference are published, and those from most years are available through Lawrence Erlbaum Associates, Inc. The annual proceedings of the Cognitive Science Conference represent a major source of information on new work and new ideas in the scientific study of thinking. In 1990, the Society, with help from an anonymous donor, established the David Marr Prize for the best student paper at each annual meeting.
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* **Journal Creation**<br>
The Journal, Cognitive Science, began publication in 1976, and is now published by Wiley-Blackwell. The Executive Editor is currently Richard P. Cooper of Birkbeck, University of London, and there are 18 Associate Editors and a 30-member editorial board. It serves as the premier outlet for research reports that intersect two or more disciplines. Copyrights for articles published in the journal are held by the Society. The Governing Board of the Cognitive Science Society voted in late 2006 to found a new journal, Topics in Cognitive Science (topiCS). The Editor in Chief is Wayne Gray, Cognitive Science Department, Rensselaer Polytechnic Institute. The journal seeks to fill a niche not occupied by Cognitive Science Journal or other cognitive science journals. Membership in the Society includes a subscription to Cognitive Science and TopiCS. Copyrights for articles published in the journal are held by the Society.
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#### Code of Conduct

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CogSci 2025

The 47th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

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The 45th Annual Meeting of the Cognitive Science Society will take place in Sydney, Australia as a modified hybrid conference. Presentations from the main-session room will be live-streamed every day for all events. This will include all invited talks and award sessions. Recordings of all CogSci 2023 sessions will be made available for on-demand viewing after the conference.<br>
The in-person component will be held at the International Convention Centre Sydney at Darling Harbour. The Conference will take place Wednesday July 26th – Saturday July 29th, 2023 (Wednesday, July 26th is the Workshops Day).

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<br>[**The Program at a Glance can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2023/07/COgSci-PAAG-V2.pdf)
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#### **CogSci 2023 Program Book**
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The 45th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

The relevance of Broca's area to language grammar processing is well established. Its relevance to implicitly learned non-linguistic sequential rules has also been demonstrated. Previous work by our lab has shown this is true even if subjects are unaware they are being trained on, and tested for, sensitivity to these rules. We extend this work to show that the degree of differential activation in Broca's area for implicitly learned grammatical vs. ungrammatical sequences is correlated across subjects with their behavioral evidence of their degree of learning of these rules as assessed by reaction time differences. Broca's is among the three regions showing the highest association with degree of learning. This finding further underscores the relevance of Broca's for non-linguistic rule learning, and suggests that the original function of this area in our pre-human ancestors may have been the implicit learning of any kind of sequential patterns in the environment.

Degree of learning of an artificial grammar correlates with differential fMRI activation of Broca's area

Reference to events using pronouns like 'it' or demonstratives like 'that' has been difficult to study, because unlike in reference to people or objects, the ground truth of interpretation is harder to establish. In this paper, we introduce a new task to understand the roles of three parameters in event reference resolution: The referential expressions themselves, sentential aspect, and discourse structure. We find that different referring expressions reliably refer to specific parts of a discourse, and confirm previous findings that sentential aspect influences referential accessibility; that the structure of a discourse itself has a major effect on reference resolution, and most notably that, contrary to predictions in the literature, some events that are not on the right-frontier of a discourse are nevertheless available for reference. Our findings contribute to a growing literature on anaphor resolution that finds that the parameter structure that determines reference resolution is multifaceted, but predictable.

Discourse structure affects reference resolution to events in English: Evidence from a new paradigm

Repetition of linguistic structure plays a role in both language comprehension and production. Previously encountered structures are processed faster, and speakers tend to reuse them in new utterances—a phenomenon known as structural priming. According to the prevailing interpretation of structural priming, linguistic input activates an underlying mental representation based on constituents, a syntactic unit derived from rule-based grammars (e.g., [[he]NP [hears [a sound]NP]VP]S). Here we ask whether structural priming can occur for non-constituent parts-of-speech fragments, such as pronoun verb determiner (e.g., he hears a). Across two preregistered phrasal decision experiments, we show that structural priming can occur at the level of three-word parts-of-speech sequences and in the absence of constituents. Using corpus analysis, we further show that structural priming of non-constituents also occurs in real-life dialogue. These results imply that constituent structure is not a necessary prerequisite for structural priming and provide a challenge to contemporary approaches to grammar.

Does he hears a prime I prefer the? Testing a novel chunk-based perspective on structural priming

The lesser known G(rammatical)-Maze task (Forster, Guerrera, & Elliot, 2009) is arguably a better choice than self-paced reading (Mitchell, 2004) for detecting difficulty from word to word in online sentence processing over crowdsourcing platforms. In G-Maze, a participant must choose between each successive word in a sentence and a distractor word that does not make sense based on the preceding context. If a participant chooses the distractor as opposed to the actual word, then the trial ends and they may not complete the sentence. Thus, G-Maze automatically filters out data from inattentive participants, and more effectively localizes differences in processing difficulty. Still, the effort required to pick contextually inappropriate distractors for hundreds of words might cause an experimenter to hesitate before picking this method. To save experimenters this time and effort, Boyce, Futrell, and Levy (2020) developed A(uto)-Maze, a tool that automatically generates distractors using a computational language model. We now introduce the next generation of A-Maze: T(ransformer)-Maze. Transformer models are the current state of the art in natural language processing, and thousands, pretrained in a variety of languages, are freely available on the internet, specifically through Huggingface’s Transformers package (Wolf et al., 2020). In our validation experiment, T-Maze proves itself to be as effective as G-Maze with handmade materials, run in a lab. This tool thus allows psycholinguists to easily gather high-quality online sentence processing data in many different languages.

Transformer-Maze: An Accessible Incremental Processing Measurement Tool

Logical connective words in natural languages often have multiple interpretations. A disjunction can be exclusive (XOR) or inclusive (IOR), and a negative conjunction can be interpreted as alternative denial (NAND) or joint denial (NOR). Previous research has suggested that there is substantial crosslinguistic variation in the interpretation of such logical constructions. That languages fall into two groups with different default interpretations. The first group interprets a negative conjunction as alternative denial (NAND) and a negative disjunction as joint denial (NOR). The second group has the opposite default interpretations. Using an online card selection task, we tested speakers of English, Hungarian, Spanish, and Mandarin on a wide variety of logical constructions. We found that the speakers of these languages did not show considerable variation in their interpretations of the logical constructions tested. The results suggest that the interpretation of logical constructions may be more consistent crosslinguistically than previously hypothesized.

Crosslinguistic Consistency in the Interpretation of Logical Connectives: The case of English, Hungarian, Spanish, and Mandarin Chinese

Visual attention can influence how language is processed. For instance, previous research showed that visual cueing of a referent affects the choice of a particular grammatical structure. The present study extended this research to language comprehension and investigated whether visually cueing either the subject or the object of an event affects the interpretation of a textual event description in Bulgarian with either a subject-initial or object-initial word order. The presence of the visual cue decreased self-paced reading reaction times and altered the accuracy in response to a comprehension question. Differences were found depending on the gender of the referent, highlighting the interaction of the visual cue and other linguistic information such as case marking. This study demonstrates that visually induced "context" can affect the linguistic salience of a referent in discourse and illustrates the interaction of domain-general cognitive mechanisms in language processing.

Visual cueing affects the processing of grammatical structure: A self-paced reading study on non-canonical word order in Bulgarian

Is there a cognitive bias against absolute synonymy? The current work explored this question via a miniature mini-artificial language experiment featuring iterated learning, which can amplify weak cognitive biases, as languages are sifted through multiple adult learners. Participants were taught two novel synonymous verbs in positive or negative sentences. Afterwards, they had to generalize the words to new positive or
negative sentences. These sentences then served as the input sentences for the next participant in the diffusion chain and so on. Despite inconsistent input with regard to positive or negative meaning, participants differentiated the verbs. More than half of participants strongly differentiated them, specializing at least one term. However, transmission did not increase differentiation overall, suggesting that a bias against synonymy may encourage a minimally distinctive difference, not necessarily a systematic one, between synonyms.

A Weak Bias Against Strong Synonymy?

Consider the following two (hypothetical) generic causal claims: “Attending an all-girls school improves girls’ math scores” and “attending an affluent all-girls school improves girls’ math scores.” These claims not only differ in what they suggest about how test scores are distributed across different types of schools (i.e., “the data”), but also have the potential to communicate something about the speakers’ values: namely, the prominence they accord to affluence in representing and making decisions about the social world. Here, we examine the relationship between the level of granularity with which a cause is described in a generic causal claim (e.g., all-girls school vs. affluent all-girls school) and the value of the information contained in the causal model that generates that claim. We argue that listeners who know any two of the following can make reliable inferences about the third: 1) the level of granularity at which a speaker makes a generic causal claim, 2) the speaker’s decision-theoretic values, and 3) the data available to the speaker. We present results of three experiments in the domain of social categories (N=853) that provide evidence in keeping with these predictions.

Tell Me Your (Cognitive) Budget, and I’ll Tell You What You Value: Evidential Relationships Between Values, Data, and Generic Causal Claims about the Social World

Positive emotional responses triggered by pleasant experiences can aid memorization ability in humans. However, little is known about the effect of aesthetically pleasing experiences on linguistic memory. To experimentally investigate whether aesthetic appeal promotes word memorability, study participants rated a set of artificial words on their aesthetic appeal and were asked to actively memorize them. In line with the predictions, higher-rated words were significantly likelier to be recollected and, interestingly, tended to contain similar patterns of phonemes. This suggests that phonemes contain an inherent aesthetic value and that linguistic memorization is aided by the presence of such aesthetically appealing sound patterns. This encourages further exploration of the effect of aesthetic perception on linguistic processing and allows for more objective approaches to assessing languages’ general appeal. Additionally, the results might have implications for the marketing industry where they allow for more efficient marketing strategies directly affecting their audience’s memory.

The effect of aesthetic appeal on words' memorability

The present research explored the development of prediction systems in 24- and 30-month-old toddlers in a visual world paradigm. Participants heard a sentence including correction (“no”) or conjunction (“and”) while seeing an array of pictures with an associatively related noun (“cat”) and the erroneous noun (“dog”). The young group showed an early prediction of the associative picture in both types of sentences, while the older group showed an early prediction of the coordination condition, but a later prediction in the correction sentences. Our results suggest that older toddlers deployed different predictive systems, while the younger group used the same system.

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Degree of learning of an artificial grammar correlates with differential fMRI activation of Broca's area

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