In this article, we present the Construction Grammar Conceptual Network method, developed for ide... more In this article, we present the Construction Grammar Conceptual Network method, developed for identifying lexical similarity and word sense discrimination in a syntactically tagged corpus, based on the cognitive linguistic assumption that coordination construction instantiates conceptual relatedness. This graph analysis method projects a semantic value onto a given coordinated syntactic dependency and constructs a second-order lexical network of lexical collocates with a high co-occurrence measure. The subsequent process of clustering and pruning the graph reveals lexical communities with high conceptual similarity, which are interpreted as associated senses of the source lexeme. We demonstrate the theory and its application to the task of identifying the conceptual structure and different meanings of nouns, adjectives and verbs using examples from different corpora, and explain the modulating effects of linguistic and graph parameters. This graph approach is based on syntactic depe...
Natural languages express how we categorize the world, reflecting the cognitive process of concept... more Natural languages express how we categorize the world, reflecting the cognitive process of conceptualization. We wish to demonstrate how features of cognitive processes of categorization, such as identification of semantical domains, are systematically embodied in the syntactic-semantic constructions of natural languages. We apply computational methods on large language corpora focusing on the detection of lexical entities collocated with logical operators and or. For each source lexical item, we enforce a friend-of-a-friend relation (FoF) that yields a graph structure with enhanced distributional semantic aspects. Graph algorithms for community detection identify subgraph structures that are interpreted as semantic domains of a lexeme’s polysemous conceptual matrix. From the semantic perspective, the application of community detection and centrality describe the activation of a specific lexical meaning. Moreover, the systemic perspective of the subgraph relations represents the ontolo...
This paper describes a graph method for labeling word senses and identifying lexical sentiment po... more This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the corpus-based syntactic-semantic dependency graph layer, lexical semantic and sentiment dictionaries. The method, implemented as ConGraCNet application on different languages and corpora, projects a semantic function onto a particular syntactical dependency layer and constructs a seed lexeme graph with collocates of high conceptual similarity. The seed lexeme graph is clustered into subgraphs that reveal the polysemous semantic nature of a lexeme in a corpus. The construction of the WordNet hypernym graph provides a set of synset labels that generalize the senses for each lexical cluster. By integrating sentiment dictionaries, we introduce graph propagation methods for sentiment analysis. Original dictionary sentiment values are integrated into ConGraCNet lexical graph to compute sentiment values of node lexemes and lexical clusters, and identify the sentiment p...
Numerous centrality measures have been introduced as tools to determine the importance of nodes i... more Numerous centrality measures have been introduced as tools to determine the importance of nodes in complex networks, reflecting various network properties, including connectivity, survivability, and robustness. In this paper, we introduce Semi-Local Intregation (SLI), a node centrality measure for undirected and weighted graphs that takes into account the coherence of the locally connected subnetwork and evaluates the integration of nodes within their neighbourhood. We illustrate SLI node importance differentiation among nodes in lexical networks and demonstrate its potential in natural language processing (NLP). In the NLP task of sense identification and sense structure analysis, the SLI centrality measure evaluates node integration and provides the necessary local resolution by differentiating the importance of nodes to a greater extent than standard centrality measures. This provides the relevant topological information about different subnetworks based on relatively local infor...
Based on the corpus analysis of the conceptualization of strah ‘fear’ in Croatian, this chapter d... more Based on the corpus analysis of the conceptualization of strah ‘fear’ in Croatian, this chapter demonstrates that the conceptual structure of emotions emerges from syntactic and semantic organization activated by sensory- motor, ontological, spatial, thematic and agentive linguistic constructions. The proposed emergent constructionist model argues for a hierarchal organization of the metonymic and metaphorical conceptualizations. In terms of cognitive hierarchy, the model shows that sensory-motor metonymic profiling is the most basic, distinctive and, therefore, the most informative mechanism of conceptualizing emotions because it conveys knowledge about the affective state, enabling simulations of the quality of a specific emotion category, while additional metaphorical mechanisms build on metonymic conceptualizations using other general cognitive abilities expressing knowledge about objects, properties, relations and events.
Rad prezentira stavove studenata vezane uz praksu yoge u sklopu kolegija tjelesna kultura na pred... more Rad prezentira stavove studenata vezane uz praksu yoge u sklopu kolegija tjelesna kultura na preddiplomskoj razini.
In this article, we present the Construction Grammar Conceptual Network method, developed for ide... more In this article, we present the Construction Grammar Conceptual Network method, developed for identifying lexical similarity and word sense discrimination in a syntactically tagged corpus, based on the cognitive linguistic assumption that coordination construction instantiates conceptual relatedness. This graph analysis method projects a semantic value onto a given coordinated syntactic dependency and constructs a second-order lexical network of lexical collocates with a high co-occurrence measure. The subsequent process of clustering and pruning the graph reveals lexical communities with high conceptual similarity, which are interpreted as associated senses of the source lexeme. We demonstrate the theory and its application to the task of identifying the conceptual structure and different meanings of nouns, adjectives and verbs using examples from different corpora, and explain the modulating effects of linguistic and graph parameters. This graph approach is based on syntactic depe...
Natural languages express how we categorize the world, reflecting the cognitive process of concept... more Natural languages express how we categorize the world, reflecting the cognitive process of conceptualization. We wish to demonstrate how features of cognitive processes of categorization, such as identification of semantical domains, are systematically embodied in the syntactic-semantic constructions of natural languages. We apply computational methods on large language corpora focusing on the detection of lexical entities collocated with logical operators and or. For each source lexical item, we enforce a friend-of-a-friend relation (FoF) that yields a graph structure with enhanced distributional semantic aspects. Graph algorithms for community detection identify subgraph structures that are interpreted as semantic domains of a lexeme’s polysemous conceptual matrix. From the semantic perspective, the application of community detection and centrality describe the activation of a specific lexical meaning. Moreover, the systemic perspective of the subgraph relations represents the ontolo...
This paper describes a graph method for labeling word senses and identifying lexical sentiment po... more This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the corpus-based syntactic-semantic dependency graph layer, lexical semantic and sentiment dictionaries. The method, implemented as ConGraCNet application on different languages and corpora, projects a semantic function onto a particular syntactical dependency layer and constructs a seed lexeme graph with collocates of high conceptual similarity. The seed lexeme graph is clustered into subgraphs that reveal the polysemous semantic nature of a lexeme in a corpus. The construction of the WordNet hypernym graph provides a set of synset labels that generalize the senses for each lexical cluster. By integrating sentiment dictionaries, we introduce graph propagation methods for sentiment analysis. Original dictionary sentiment values are integrated into ConGraCNet lexical graph to compute sentiment values of node lexemes and lexical clusters, and identify the sentiment p...
Numerous centrality measures have been introduced as tools to determine the importance of nodes i... more Numerous centrality measures have been introduced as tools to determine the importance of nodes in complex networks, reflecting various network properties, including connectivity, survivability, and robustness. In this paper, we introduce Semi-Local Intregation (SLI), a node centrality measure for undirected and weighted graphs that takes into account the coherence of the locally connected subnetwork and evaluates the integration of nodes within their neighbourhood. We illustrate SLI node importance differentiation among nodes in lexical networks and demonstrate its potential in natural language processing (NLP). In the NLP task of sense identification and sense structure analysis, the SLI centrality measure evaluates node integration and provides the necessary local resolution by differentiating the importance of nodes to a greater extent than standard centrality measures. This provides the relevant topological information about different subnetworks based on relatively local infor...
Based on the corpus analysis of the conceptualization of strah ‘fear’ in Croatian, this chapter d... more Based on the corpus analysis of the conceptualization of strah ‘fear’ in Croatian, this chapter demonstrates that the conceptual structure of emotions emerges from syntactic and semantic organization activated by sensory- motor, ontological, spatial, thematic and agentive linguistic constructions. The proposed emergent constructionist model argues for a hierarchal organization of the metonymic and metaphorical conceptualizations. In terms of cognitive hierarchy, the model shows that sensory-motor metonymic profiling is the most basic, distinctive and, therefore, the most informative mechanism of conceptualizing emotions because it conveys knowledge about the affective state, enabling simulations of the quality of a specific emotion category, while additional metaphorical mechanisms build on metonymic conceptualizations using other general cognitive abilities expressing knowledge about objects, properties, relations and events.
Rad prezentira stavove studenata vezane uz praksu yoge u sklopu kolegija tjelesna kultura na pred... more Rad prezentira stavove studenata vezane uz praksu yoge u sklopu kolegija tjelesna kultura na preddiplomskoj razini.
Framing the Nation and Collective Identities, 2019
This book analyzes top-down and bottom-up strategies of framing the nation and collective identit... more This book analyzes top-down and bottom-up strategies of framing the nation and collective identities through commemorative practices relating to events from the Second World War and the 1990s "Homeland War" in Croatia. With attention to media representations of commemorative events and opinion poll data, it draws on interviews and participant observation at commemorative events to focus on the speeches of political elites, together with the speeches of opposition politicians and other social actors (such as the Catholic Church, anti-fascist organizations and war veterans' and victims' organizations) who challenge official narratives. Offering innovative approaches to researching and analyzing commemorative practices in post-conflict societies, this examination of a nation's transition from a Yugoslav republic to an independent state-and now the newest member of the European Union-constitutes a unique case study for scholars of cultural memory and identity politics interested in the production and representation of national identities in official narratives.
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