Frequency estimation and semantic ambiguity do not eliminate ‎conjunction bias, when it ‎occurs: Replication and extension of ‎Mellers, Hertwig, and Kahneman (2001)‎

Mellers, Hertwig, and Kahneman (2001) conducted an adversarial collaboration to try and resolve Hertwig’s contested view that frequency formats eliminate conjunction effects, and that conjunction effects are largely due to semantic ambiguity. We conducted a pre-registered well-powered very close replication ‎(N = 1032), ‎testing two personality profiles (Linda and James) in a four conditions between-subject design comparing unlikely and likely items to "and" and "and are" conjunctions. Linda profile findings were in support of conjunction effect and consistent with Tversky and Kahneman’s (1983) arguments for a representative heuristic. We found no support for semantic ambiguity. Findings for James profile were a likely failed replication, with no conjunction effect. We provided additional tests addressing possible reasons, in line with later literature suggesting conjunction effects may be context-sensitive. We discuss implications for research on conjunction effect, and call for further well-powered pre-registered replications and extensions of classic findings in judgment and decision-making.

Glue Semantics

Glue Semantics (Glue) is a general framework for semantic composition and the syntax–semantics interface. The framework grew out of an interdisciplinary collaboration at the intersection of formal linguistics, formal logic, and computer science. Glue assumes a separate level of syntax; this can be any syntactic framework in which syntactic structures have heads. Glue uses a fragment of linear logic for semantic composition. General linear logic terms in Glue meaning constructors are instantiated relative to a syntactic parse. The separation of the logic of composition from structural syntax distinguishes Glue from other theories of semantic composition and the syntax–semantics interface. It allows Glue to capture semantic ambiguity, such as quantifier scope ambiguity, without necessarily positing an ambiguity in the syntactic structure. Glue is introduced here in relation to four of its key properties, which are used as organizing themes: resource-sensitive composition, flexible composition, autonomy of syntax, and syntax/semantics non-isomorphism. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Bedeutung und Weltwissen in der Konstruktionsgrammatik. Holistik oder Modularität?

Empirical and theoretical arguments are presented against a framesemantic grounding of construction grammar and thus against a holistic unification of meaning and world knowledge. A modular conception is the basis of the interplay between construction and projection in Goldberg (1995). Goldberg’s attempt to include frame semantics is at odds with this foundation and must be considered a failure. The same is true for the continuation by Boas (2003). The argumentation is supplemented, among other things, by the reference to the contrast of a perceptual system and a linguistic system of cognition in cognitive psychology and by the necessity to take a modular concept as a basis in the area of syntactic-semantic ambiguity of sentences.

A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis

Digital transformation is the rapidly expanding research field dealing with the increased impact of digital technologies on both business and society. Due to the large number of papers and the semantic ambiguity surrounding the terminology, covering such a broad topic is difficult. To help researchers gain a better understanding of the knowledge structure of the research field, we conduct a scoping review using scientometrics. We searched for publications dealing with digital transformation on both Scopus and Web of Science. We downloaded their bibliometric data and thoroughly merged and cleaned it using lemmatization and stemmatization. This dataset was analyzed using VOSviewer to create co-author networks and co-word occurrence graphs of the titles, abstracts, and keywords. We also visualized the growth of the research field and retrieved the top conferences and journals based on the number of papers and the number of citations. K-means clustering was performed on the abstracts and keywords to find similar research focuses. These findings highlight the broad scope of the research field, the ambiguity of the terminology, the lack of collaboration, and the absence of research into the impact of digital transformation on society. Moving forward, more research needs to be done to establish the boundaries of digital transformation and to investigate the importance of society in this phenomenon.

The perception of voicing contrast in assimilation contexts in minimal pairs: evidence from Hungarian

It has been long acknowledged that the perception and production of speech is affected by the presence or absence of higher levels of linguistic information, too. The recoverability of meaning heavily relies on semantic context, similarly, the precision of articulation is inversely proportional to the presence of semantic information. The present study explores the recoverability of the voice feature of word-final alveolar fricatives in minimal pairs in Hungarian in phonetic contexts that trigger regressive voicing assimilation. Specifically, it aims to clarify whether the acoustic differences found in earlier studies are perceptually salient enough to distinguish underlying voicing in minimal pairs in semantically ambiguous contexts. For this reason, a perception study with the synthesised minimal pair mész–méz ‘whitewash–honey’ was carried out where the amount of voicing in the fricative, and the duration of the fricative and vowel were manipulated. The target words appeared in the following three phonetic contexts: before /p/, before /b/ and before the vowel /a/. Our results suggest that the observed acoustic differences in most of the cases remain below the perceptual threshold which means that phonological contrast is indeed neutralised before obstruents in Hungarian, and this may cause semantic ambiguity.

Sentiment analysis of students in ideological and political teaching based on artificial intelligence and data mining

In order to improve the efficiency of sentiment analysis of students in ideological and political classrooms, under the guidance of artificial intelligence ideas, this paper combines data mining and machine learning algorithms to improve and propose a method for quantifying the semantic ambiguity of sentiment words. Moreover, this paper designs different quantitative calculation methods of sentiment polarity intensity, and constructs video image sentiment recognition, text sentiment recognition, and speech sentiment recognition functional modules to obtain a combined sentiment recognition model. In addition, this article studies student emotions in ideological and political classrooms from the perspective of multimodal transfer learning, and optimizes the deep representation of images and texts and their corresponding deep networks through single-depth discriminative correlation analysis. Finally, this paper designs experiments to verify the model effect from two perspectives of single factor sentiment analysis and multi-factor sentiment analysis. The research results show that comprehensive analysis of multiple factors can effectively improve the effect of sentiment analysis of students in ideological and political classrooms, and enhance the effect of ideological and political classroom teaching.