This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introduced, with their arguments defined on an ontology of sorts. A semantic parser is used to extract these relations from noun phrases and verb argument structures. The method was successfully used in two applications: rapi...

The discovery of semantic relations from text becomes increasingly important for applications such as Question Answering, Information Extraction, Text Summarization, Text Understanding, and others. The semantic relations are detected by checking selectional constraints. This paper presents a method and its results for learning semantic constraints to detect part-whole relations. Twenty constrai...

Several medical natural language processing (NLP) systems currently base on ontologies that provide the domain knowledge. But, relationships between concepts defined in ontologies as well as relations predefined in a semantic network are widely unused in this context. The objective of this paper is to analyse potentials of using ontological relations to produce correct semantic structures for a...

This paper presents the overall methodology that has been used to encode both the Brazilian Portuguese WordNet (WordNet.Br) standard language-independent conceptual-semantic relations (hyponymy, co-hyponymy, meronymy, cause, and entailment) and the so-called cross-lingual conceptual-semantic relations between different wordnets. Accordingly, after contextualizing the project and outlining the c...

among the modern methods propounded in linguistics in which they scientifically study the concept and is called semantics. in semantics, the meanings of words are explained via discovering the semantic field of words based on their relations in the semantic networks. in the context of the verses of holy quran, by help of this method, they research for the meanings of quran words. the concept of...

Terminology structuring aims to elicit semantic relations between the terms of a domain. We propose here to exploit definitions found in corpora to obtain such semantic relations. Definition typologies show that definitions can be introduced by different semantic relations, some of these relations being likely to structure terminologies. Our aim is therefore to mine “defining expressions” in do...

Discovering and ranking complex relationships in the semantic web is an important building block of semantic search applications. Although semantic web technologies define relations between objects but there are some complex (hidden) relationships that are valuable in different applications. Currently, users need to discover the relations between objects and find the level of semantic similarit...

Ontologies as well as classification systems and thesauri consist of concepts and the paradigmatic semantic relations between them. Paradigmatic relations are document-independent relations used to model a domain of interest; in contrast to syntagmatic relations, which are merely based on the co-occurrence of concepts within single documents (Stock & Stock, 2008, pp. 68-70). Paradigmatic relati...

In contrast to typical semantic relations between verbs, such as antonymy, synonymy or hyponymy, presupposition is a lexical relation that is not very well covered in existing lexical resources. It is also understudied in the field of corpus-based methods of learning semantic relations. But presupposition is very important for the quality of automatic semantic and discourse analysis tasks. In t...

Linguistic ontologies, most notably WordNet [1], have been shown to be a valuable resource for a variety of natural language processing applications. Presently, linguistic ontologies are largely constructed by hand, which is both difficult and expensive. A central problem that demands an automated solution is the discovery and incorporation of lexical semantic relations, or semantic relations b...