School-age children acquire hundreds of new words each year, many of which are acquired incidentally, from uses in discourse contexts. Although children are adept word learners, lexical acquisition from oral language is not necessarily inevitable. Children have particular difficulties in the acquisition of terms that involve complex semantic representations, such as science terms (Braisby, Dock...

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...

Constructing a semantic concept hierarchy covers only part of the problem in building any knowledgebased natural language processing (NLP) system: Language understanding requires mapping from syntactic structures into conceptual (i.e. interlingua) representation (henceforth verb-argument mapping), while language generation requires the inverse mapping. Jacobs [13] proposed a solution in which h...

In this paper we examine the role of events within a theory of lexical semantics. We propose a configurational theory of event structure and examine how it contributes to a lexical semantic theory for natural language. In particular, we argue that an event structure can provide a distinct and useful level of representation for linguistic analysis involving the aspectual properties of verbs, adv...

During a quarter of a century of existence and in spite of much criticism, wordnets have thoroughly proved their appropriateness as repositories of linguistic knowledge and their usefulness in various applications. In this paper we present the methodology of creating the Romanian wordnet (RoWN), with special emphasis on the strategies adopted during ten years of ceaseless implementation and whi...

Knowledge representation systems aiming at full natural language understanding need to cover a wide range of semantic phenomena including lexical ambiguities, coreference, modalities, counterfactuals, and generic sentences. In order to achieve this goal, we argue for a multidimensional view on the representation of natural language semantics. The proposed approach, which has been successfully a...

This paper proposes a knowledge representation model and a logic proving setting with axioms on demand successfully used for recognizing textual entailments. It also details a lexical inference system which boosts the performance of the deep semantic oriented approach on the RTE data. The linear combination of two slightly different logical systems with the third lexical inference system achiev...

This paper will focus on the semantic representation of verbs in computer systems and its impact on lexical selection problems in machine translation (MT). Two groups of English and Chinese verbs are examined to show that lexical selection must be based on interpretation of the sentence as well as selection restrictions placed on the verb arguments. A novel representation scheme is suggested, a...

This paper develops a graph-theoretical model of text representation based on lexical chaining. Other than present approaches to chaining, this model reflects the logical document structure of texts as well as semantic relations of their lexical constituents in order to compute text similarity values. By varying the terminological ontology used to induce such relations, a door is opened to syst...