Rebekah Baglini
Biographic Data
| ID | 9566890 |
|---|---|
| NAME | Rebekah Baglini |
| GIVEN NAMES | Rebekah |
| FAMILY NAME | Baglini |
| SIGNATURE | BAGLINI R |
| AFFILIATIONS | Aarhus University |
| ORCID | 0000-0002-2836-5867 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Modeling linguistic causation
This paper develops a formal methodology for capturing and representing the semantics of causal expressions in natural languages. Focusing on two causative constructions—covert causatives (change-of-state verbs) and overt causatives (the verb cause )—it provides a proof of concept for analyzing the distinguished meanings of different causative constructions. We adopt the formal framework of Structural Equation Modeling (SEM) to analyze causality …
The Implications of Managing
Since Karttunen's original observations about the two-way implicative verb manage, there has been no consensus as to the descriptive and analytical characterization of the implicational behavior of this verb. This short paper presents a reevaluation of the relevant descriptive generalizations, and proposes an analysis, couched within the causal modeling approach to causation developed by Schulz (2011) . We propose that manage sentences presuppose…
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The Implications of Managing
Since Karttunen's original observations about the two-way implicative verb manage, there has been no consensus as to the descriptive and analytical characterization of the implicational behavior of this verb. This short paper presents a reevaluation of the relevant descriptive generalizations, and proposes an analysis, couched within the causal modeling approach to causation developed by Schulz (2011) . We propose that manage sentences presuppose…
Modeling linguistic causation
This paper develops a formal methodology for capturing and representing the semantics of causal expressions in natural languages. Focusing on two causative constructions—covert causatives (change-of-state verbs) and overt causatives (the verb cause )—it provides a proof of concept for analyzing the distinguished meanings of different causative constructions. We adopt the formal framework of Structural Equation Modeling (SEM) to analyze causality …
Causation (2 works) · Syntax, Semantics, Linguistic Variation (2 works) · Argument (complex analysis) (1 works) · Artificial Intelligence (1 works) · Causal structure (1 works) · Causative (1 works) · Computer Science (1 works) · Epistemology (1 works) · Linguistics (1 works) · Linguistics and Discourse Analysis (1 works)