A deep problem in cognitive science is to explain the acquisition of abstract semantic relations, such as antonymy and synonymy. Are such relations necessarily part of an innate representational endowment provided to humans? Or, is it possible for a learning system to acquire abstract relations from non-relational inputs of realistic complexity (avoiding hand-coding)? We present a series of com...

A RULE-BASED APPROACH FOR CONVERTING WIKIPEDIA CONTENT INTO SEMANTIC RELATIONS In this thesis, we propose a method for conversion from natural language into semantic relations. In this research, we focus on text written in highly unstructured form. The method is based on analysis of grammatical patterns of the sentences chosen from Wikipedia. Regular expressions are used for the generation of g...

The purpose of this work is to develop automatic methods of semantic integrity maintenance, in support of concurrent engineering. Semantic integrity relations in any final engineering design are built up incrementally, through the use of different computer applications. Here, the structure of these integrity relations are formalized for representation within a database. When changes to a design...

The study of lexical semantics has produced a systematic analysis of relationships between content words that has greatly bene ted both lexical search tools and natural language processing systems. We describe research toward a common algorithmic core for these two applications. We rst introduce a database system called FreeNet that facilitates the description and exploration nite binary relati...

abstract Keywords: derivational morphology, morphosemantic relations, derivational relations, prefixation, semantic relations, Croatian WordNet This paper deals with certain morphosemantic relations between Croa-tian verbs and discusses their inclusion in Croatian WordNet. The mor-phosemantic relations in question are the semantic relations between unprefixed infinitives and their prefixed deri...

Attributes of words and relations between two words are central to numerous tasks in Artificial Intelligence such as knowledge representation, similarity measurement, and analogy detection. Often when two words share one or more attributes in common, they are connected by some semantic relations. On the other hand, if there are numerous semantic relations between two words, we can expect some o...

Semantic relations between text concepts denote the core elements of lexical semantics. This paper presents a model for the automatic detection of INTENTION semantic relation. Our approach first identifies the syntactic patterns that encode intentions, then we select syntactic and semantic features for a SVM learning classifier. In conclusion, we discuss the application of INTENTION relations t...

Whereas dictionary design has traditionally been guided by the results of dictionary use research, recent approaches in lexicographic research are strictly user-centred. We support the idea of integrating empirical cognitive evidence into this type of research, thus fruitfully exploiting it for both, the selection (and subsequently presentation) of lexical data and the acquisition of such data ...

This work presents the results of the application of a technique for automatic extraction of semantic relations between words from a corpus. The technique used is the one proposed by Grefenstette in [8]. We proposed contributions for the syntactic context notion adopted in [8], aiming to improve the identification of semantically related words. Such contributions include new information into th...

The paper presents a very preliminary attempts to employ the word2vec tool to evaluate semantic regularity within particular derivational relations in the data of the Derivancze derivational analyzer of Czech.