We are interested in bridging the world of natural language and the world of the semantic web in particular to support natural multilingual access to the web of data. In this paper we introduce a new type of lexical ontology called interlingual lexical ontology (ILexicOn), which uses semantic web formalisms to make each interlingual lexical unit class (ILU) support the projection of its semanti...

Objectives. To identify missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Methods. We first create logical definitions from the lexical features of concept names, which we represent in OWL EL. We infer hierarchical (subClassOf) relations among these concepts using the ELK reasoner. Finally, we compare the hierarchy obtained from...

In the framework of the Papillon project, there are acceptions that are not lexicalized in a given language. They correspond at best to some hypernyms. Moreover, in order to easily supervise a translation process, we would like to be able to name meanings instead of referring to definitions by numbers. Dictionaries define words using a ”genus + differentia” approach and can be exploited for new...

persian follows a concatenative morphology, where new morphemes are generated by chaining different morphemes together to form a new compound word.  whenever, two morphemes bind to form a new morpheme, there is a possibility that the syllables at the morpheme boundaries undergo structural change.  this study suggests that these syllabic alterations may be captured using a finite state approach....

The modern computational lexical semantics has reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and f...

NLP systems crucially depend on the knowledge structures devoted to describing and representing word senses. Although automatic Word Sense Disambiguation (WSD) is now an established task within empirically-based computational approaches to NLP, the suitability of the available set (and granularity) of senses is still a problem. Application domains exhibit speci c behaviors that cannot be fully ...

Obtaining a useful complete overview of Web-based product information has become difficult nowadays due to the ever-growing amount of information available on online shops. Findings from previous studies suggest that better search capabilities, such as the exploitation of annotated data, are needed to keep online shopping transparent for the user. Annotations can, for example, help present info...

Neural language models (LMs) are typically trained using only lexical features, such as surface forms of words. In this paper, we argue this deprives the LM of crucial syntactic signals that can be detected at high confidence using existing parsers. We present a simple but highly effective approach for training neural LMs using both lexical and syntactic information, and a novel approach for ap...

historical Surface gloss a. /man‐aa vai/ mana vai “give me it”