SenseGraph a graph-like structure of word senses of most common words of the standard Croatian language, obtained by relying on human-provided lexical substitutes for target words in context. SenseGraph is encoded in the Lexical Markup Framework (LMF; ISO 24613:2008) format. SenseGraphs consists of SenseCells, which are clusters of same-sense words obtained by grouping of words based on the similarity of their lexical substitution sets and the contexts they appear in. SenseCells can be thought of as Synsets in standard computational lexicographic terminology, albeit they exhibit more variability, which can be attributed to sense modulations in specific contexts. SenseCells are linked to each other based on loose semantic relatedness. ...
This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the...
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervise...
Lexical Semantic Change (LSC) detection, also known as Semantic Shift, is the process of identifying...
The goal of this research was to investigate and determine position of strong predictors for word se...
Automatsko otkrivanje značenja višeznačnih riječi korak je prema izgradnji kvalitetnog sustava za ra...
To create the first Hungarian WSD corpus, 39 suitable word form samples were selected for the purpos...
This corpus can be used to build and evaluate methods for extracting and presenting knowledge based ...
It is common knowledge that the creation of language resources for Language Engineering (LE) applica...
SenseClusters is a freely available intelligent system that clusters together similar contexts in na...
The representation of written language semantics is a central problem of language technology and a c...
The paper presents the detection of syntactic patterns in the Croatian WordNet synset definitions. T...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
Over the course of the last few years, lexicography has witnessed the burgeoning of increasingly rel...
The paper presents syntactic pattern definitions designed for Croatian WordNet in order to create un...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the...
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervise...
Lexical Semantic Change (LSC) detection, also known as Semantic Shift, is the process of identifying...
The goal of this research was to investigate and determine position of strong predictors for word se...
Automatsko otkrivanje značenja višeznačnih riječi korak je prema izgradnji kvalitetnog sustava za ra...
To create the first Hungarian WSD corpus, 39 suitable word form samples were selected for the purpos...
This corpus can be used to build and evaluate methods for extracting and presenting knowledge based ...
It is common knowledge that the creation of language resources for Language Engineering (LE) applica...
SenseClusters is a freely available intelligent system that clusters together similar contexts in na...
The representation of written language semantics is a central problem of language technology and a c...
The paper presents the detection of syntactic patterns in the Croatian WordNet synset definitions. T...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
Over the course of the last few years, lexicography has witnessed the burgeoning of increasingly rel...
The paper presents syntactic pattern definitions designed for Croatian WordNet in order to create un...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the...
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervise...
Lexical Semantic Change (LSC) detection, also known as Semantic Shift, is the process of identifying...