[PDF] Top 20 Semantic oriented cross lingual ontology mapping

... 2002], mapping methodologies for them [Liang et ...an ontology-based framework for qualification recognition [Vas, 2007] across the European Union ...an ontology is used to support the recognition of ... See full document

... of cross-lingual semantic similarity in ...latent cross-lingual semantic concepts induced directly from comparable corpora, and which does not rely on any other resource ... See full document

... the semantic similarity of these restrictions: all entry pairings with consistent semantic restrictions on the corresponding argument positions were treated as equally acceptable as far as semantic ... See full document

... The results of our alignment were evaluated by the organiz- ers of the OAEI VLCR task on the basis of a sample of the results (Euzenat et al., 2009). If every link is counted as a potential exact match, we achieve a OAEI ... See full document

... Latent Semantic Analysis (LSA) to extract domain terminology from a large open domain corpus, as an answer to a user ...our ontology to new domains, more specifically we have focussed on the the music ... See full document

... [7], mapping methodologies for them [30, 31] and a definition of requirements to improve the interoperability between these multilingual resources ...an ontology-based framework for qualification ... See full document

... frequent semantic role label ...the cross-lingual WSD ...the cross-lingual WSD ...syntactic-semantic mapping rules cross-lingually, dif- ferences in annotation ... See full document

... for cross lingual question answering over knowledge ...KB, cross lingual dictionaries like Ba- belNet (Navigli and Ponzetto, 2012) and the KB own cross lingual links (whenever ... See full document

... Given two documents about the same topic writ- ten in different languages (e.g. Wiki pages), con- tent synchronization deals with the problem of au- tomatically detecting and resolving differences in the information they ... See full document

... on semantic parsing have been made, such as mapping sentences into lambda calculus forms based on CCG (Artzi and Zettlemoyer, 2011; Artzi et ...structured semantic representations (Lu, 2015; Susanto ... See full document

... of semantic annotation based on parallel corpora is a well-defined and feasible task, and it has been argued to be particularly suit- able to semantic role label annotation because cross- ... See full document

... When using feedback in the context of CLOM, an initial set of matches generated after the first iteration of the CLOM process can be thought of as the initial set of documents retrieved by an IR system, and the ... See full document

... An ontology label translation tool, LabelTranslator is demonstrated in ...an ontology using one particular natural language could still achieve the same level of knowledge expressivity if translated into ... See full document

... of ontology labels takes place in isolation from the ontologies concerned, the SOCOM framework is semantic-oriented and aims to identify the most appropriate translation for a given ...source ... See full document

... for ontology translation that uses CLESA for leveraging the ontological context in a Statistical Machine Translation ...the ontology labels in SMT architecture, provides the selection of the translation ... See full document

... Obviously, another related area of research is lexicon modeling. Although the ISO LMF will un- doubtedly be used as a solid and shared framework, requirements to its revisions/extensions continue to emerge. Among them, ... See full document

... 26 semantic category features corresponding to the lexF N s for nouns (3 through ...15 semantic category features corre- sponding to lexical ids for verbs (29 through 43), for example, ... See full document

... the cross-lingual entailment detector be replaced by a more direct approach for detecting divergence? And to what extent are alignment-based features useful when compared to neural models that might be ... See full document

... Evaluation Setup. Finally, we also carry down- stream evaluation in the semantic textual similarity (STS) task. The Arabic dataset constructed for Se- mEval 2017 track 1 16 (Cer et al., 2017) consists of sentence ... See full document

... Table 3 also shows the results for English. Not surprisingly, since we have an order of magnitude more data for English, the model trained and tested on English data still performs better than any of the evaluated ... See full document