Ova studija prikazuje metodu ConGraCnet na primjeru korpusne sintaktičko-semantičke analize s pomoću grafova pojma osjećaj/feeling. analizom mreža leksičkih kolokacija koordinirane konstrukcije iz korpusa enTenTen i hrWac struktura semantičkih domena ishodišnih pojmova razlučuje se algoritmom prepoznavanja graf-zajednica. leksičke se zajednice sagledavaju kao apstrakcija semantičkih domena povezanih s pojmovnom matricom ishodišnoga leksema. Korištenjem algoritmom centralnosti koji prepoznaje istaknuto umrežene lekseme određuje se stupanj povezanosti semantičke domene s izvornim pojmom. ovaj empirijski pristup može se upotrebljavati za razvijanje nlP metoda za prepoznavanje semantičke sličnosti, razlučivanja višeznačnosti, strukturiranje zna...
In this paper, the FEELING system for extracting and building semantic representations of emotions, ...
The paper explores problems in ontology construction that arise due to the complex mapping between l...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
This research exemplifies the corpus-based graph approach to the syntactic-semantic analysis of a co...
This paper describes a graph method for labeling word senses and identifying lexical sentiment poten...
A semantic network is the representation of knowledge in the form of a graph where the nodes represe...
The aim of this paper is to explore some of the possibilities, advantages and difficulties of corpus...
Both of the constructions we focused on are passive, meaning that the emotion words will be a bit fu...
This tutorial presents a corpus-driven, pattern-based empirical approach to meaning representation a...
Abstract—Emotions play a key role in natural language understanding and sensemaking. Pure machine le...
The aim of this work was to study the similarity network and hierarchical clustering of Finnish emot...
SenseGraph a graph-like structure of word senses of most common words of the standard Croatian langu...
The subject of research of this article is the polysemantic word organization in the mental lexicon....
The present research focuses on the study of the distribution of lexis in corpus and its aim is to i...
The goal of this study is to demonstrate how network science and graph theory tools and concepts can...
In this paper, the FEELING system for extracting and building semantic representations of emotions, ...
The paper explores problems in ontology construction that arise due to the complex mapping between l...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
This research exemplifies the corpus-based graph approach to the syntactic-semantic analysis of a co...
This paper describes a graph method for labeling word senses and identifying lexical sentiment poten...
A semantic network is the representation of knowledge in the form of a graph where the nodes represe...
The aim of this paper is to explore some of the possibilities, advantages and difficulties of corpus...
Both of the constructions we focused on are passive, meaning that the emotion words will be a bit fu...
This tutorial presents a corpus-driven, pattern-based empirical approach to meaning representation a...
Abstract—Emotions play a key role in natural language understanding and sensemaking. Pure machine le...
The aim of this work was to study the similarity network and hierarchical clustering of Finnish emot...
SenseGraph a graph-like structure of word senses of most common words of the standard Croatian langu...
The subject of research of this article is the polysemantic word organization in the mental lexicon....
The present research focuses on the study of the distribution of lexis in corpus and its aim is to i...
The goal of this study is to demonstrate how network science and graph theory tools and concepts can...
In this paper, the FEELING system for extracting and building semantic representations of emotions, ...
The paper explores problems in ontology construction that arise due to the complex mapping between l...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...