Word-order and causal inference: The temporal attribution bias

Bettinsoli, Maria Laura; Maass, Anne; Kashima, Yoshihisa; Suitner, Caterina

doi:10.1016/j.jesp.2015.05.011

Cited by 16 publications

(10 citation statements)

References 30 publications

(33 reference statements)

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“…Moreover, the target-verb order should enhance the agency-target association in subject-verb-object languages such as Polish, and also possibly in languages without a dominant word order such as German (Bettinsoli, Maass, Kashima, & Suitner, 2015). Therefore, we compared instances of verbs directly following agentic versus non-agentic targets.…”

Section: Methodsmentioning

confidence: 99%

Verbs as linguistic markers of agency: The social side of grammar

Formanowicz

Roessel

Suitner

et al. 2017

Euro J Social Psych

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Basic grammatical categories may carry social meanings irrespective of their semantic content. In a set of four studies, we demonstrate that verbs—a basic linguistic category present and distinguishable in most languages—are related to the perception of agency, a fundamental dimension of social perception. In an archival analysis of actual language use in Polish and German, we found that targets stereotypically associated with high agency (men and young people) are presented in the immediate neighborhood of a verb more often than non‐agentic social targets (women and older people). Moreover, in three experiments using a pseudo‐word paradigm, verbs (but not adjectives and nouns) were consistently associated with agency (but not with communion). These results provide consistent evidence that verbs, as grammatical vehicles of action, are linguistic markers of agency. In demonstrating meta‐semantic effects of language, these studies corroborate the view of language as a social tool and an integral part of social perception.

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Section: Methodsmentioning

confidence: 99%

Verbs as linguistic markers of agency: The social side of grammar

Formanowicz

Roessel

Suitner

et al. 2017

Euro J Social Psych

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“…The event logging mechanism always attach timestamp with the event log entry. Similar approaches has been successfully applied in various domains such as cognitive, affective and social Neuroscience (Treur, 2016), languages translation paradigm for active sentences (Bettinsoli et al, 2015) and others. The event logs are always generated in linear order, and in case of windows logging mechanism, it is not allowed to modify or delete specific event entries.…”

Section: Temporal-association Relationshipsmentioning

confidence: 99%

Eliciting and utilising knowledge for security event log analysis: An association rule mining and automated planning approach

Khan

Parkinson

2018

Expert Systems with Applications

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Vulnerability assessment and security configuration activities are heavily reliant on expert knowledge. This requirement often results in many systems being left insecure due to a lack of analysis expertise and access to specialist resources. It has long been known that a system's event logs provide historical information depicting potential security breaches, as well as recording configuration activities. However, identifying and utilising knowledge within the event logs is challenging for the non-expert. In this paper, a novel technique is developed to process security event logs of a computer that has been assessed and configured by a security professional, extract key domain knowledge indicative of their expert decision making, and automatically apply learnt knowledge to previously unseen systems by non-experts.The technique converts event log entries into an object-based model and dynamically extracts associative rules. The rules are further improved in terms of quality using a temporal metric to autonomously establish temporal-association rules and acquire a domain model of expert configuration tasks. The acquired domain model and problem instance generated from a previously unseen system can then be used to produce a plan-of-action, which can be exploited by non-professionals to improve their system's security. Empirical analysis is subsequently performed on 20 event logs, where identified plan traces are discussed in terms of accuracy and performance.

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“…In such cases, the generation of pragmatic inferences can greatly facilitate the process of establishing a situational model, though extra processing cost is required. A number of empirical studies have been carried out to examine the relationship between inferential process and on-line sentence processing (Bettinsoli, Maass, Kashima, & Suitner, 2015;Burkhardt, 2006;Hirotani & Schumacher, 2011;Kuperberg, Paczynski, & Ditman, 2011;Yang, Perfetti, & Schmalhofer, 2007). These studies, however, have mainly focused on how the different degrees of semantic association affect the establishment of pragmatic inference.…”

Section: Introductionmentioning

confidence: 99%

Can pragmatic inference benefit from topic prominence? ERP evidence from Mandarin Chinese

Chen

et al. 2018

Journal of Neurolinguistics

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This study investigated how pragmatic inference making is modulated by information structure in preceding text. We created three types of two-clause structures in which the interpretation of a critical word in the second clause was dependent on the engagement of pragmatic inference as well as a successful establishment of a referential relation between the target word and an intended antecedent in the preceding text. An enhanced P600 response was elicited by target words when the intended referent was in non-topic position compared to topic position or sub-topic position. Moreover, a reduced N400 was elicited by the target word when the intended referent in the preceding clause was in non-topic position, compared to topic position. These findings suggest that the process of building an inferential relation can benefit from information structural prominence of topicality.

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Word-order and causal inference: The temporal attribution bias

Cited by 16 publications

References 30 publications

Verbs as linguistic markers of agency: The social side of grammar

Verbs as linguistic markers of agency: The social side of grammar

Eliciting and utilising knowledge for security event log analysis: An association rule mining and automated planning approach

Can pragmatic inference benefit from topic prominence? ERP evidence from Mandarin Chinese

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