In contrast to classical lexical semantic relations between verbs, such as antonymy, synonymy or hypernymy, presupposition is a lexically triggered semantic relation that is not well covered in existing lexical resources. It is also understudied in the field of corpus-based methods of learning semantic relations. Yet, presupposition is very important for semantic and discourse analysis tasks, g...

We propose a method for cross-language identification of semantic relations based on word similarity measurement and morphosemantic relations in WordNet. We transfer these relations to pairs of derivationally unrelated words and train a model for automatic classification of new instances of (morpho)semantic relations in context based on the existing ones and the general semantic classes of coll...

We introduce a novel approach to extract semantic relations (e.g., is-a and part-of relations) fromWikipedia articles. These relations are used to build up a large and up-todate thesaurus providing background knowledge for tasks such as determining semantic ontology mappings. Our automatic approach uses a comprehensive set of semantic patterns, finite state machines and NLP techniques to extrac...

This paper describes conceptual semantic relations obtained from OpenLogos resources converted into NooJ format. These relations were symbolically represented in the OpenLogos lexicon as a taxonomic scheme called semantico-syntactic abstraction language (SAL), used to generate hierarchical hyponymy and hypernymy relations. The paper also describes action-of, result-of, and synonymy relations be...

Even a superficial meaning representation of a text requires a system of semantic labels that characterize the relations between the predicates in the text and their arguments. The semantic interpretation of syntactic subjects and objects, of prepositions and subordinate conjunctions has been treated in numerous books and papers with titles including words like DEEP CASES, CASE ROLES, SEMANTIC ...

OBJECTIVES This paper proposes a novel semantic method for auditing associative relations in biomedical terminologies. We tested our methodology on two Unified Medical Language System (UMLS) knowledge sources. METHODS We use the UMLS semantic groups as high-level representations of the domain and range of relationships in the Metathesaurus and in the Semantic Network. A mapping created betwee...

Clinical practice guidelines are important instruments to support clinical care. We have analyzed guidelines according to their semantic relations in order to generate a formal representation. We used the UMLS Semantic Network as a basis for our analysis. We defined relations that will be used to automatically identify the control flow described in guidelines for generating a computerinterpreta...

This paper presents a method for the composition of at-location with other semantic relations. The method is based on inference axioms that combine two semantic relations yielding another relation that otherwise is not expressed. An experimental study conducted on PropBank, WordNet, and eXtended WordNet shows that inferences have high accuracy. The method is applicable to combining other semant...