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On generating coherent multilingual descriptions of museum objects from Semantic Web ontologies

Paper i proceeding
Författare Dana Dannélls
Publicerad i The 7th International Conference on Natural Language Generation (INLG 2012)
Publiceringsår 2012
Publicerad vid Institutionen för svenska språket
Språk en
Länkar www.aclweb.org/anthology/W/W12/W12-...
Ämnesord Multilingual NLG, Semantic Web, Ontology, Coherence
Ämneskategorier Språkteknologi (språkvetenskaplig databehandling)

Sammanfattning

During the last decade, there has been a shift from developing natural language systems to developing generic systems that are capable of producing natural language descriptions directly from Web ontologies. To make these descriptions coherent and accessible in different languages, a methodology is needed for identifying the general principles that would determine the distribution of referential forms. Previous work has proved through crosslinguistic investigations that strategies for building co-reference are language dependent. However, to our knowledge, there is no language generation methodology that makes a distinction between languages about the generation of referential chains. To determine the principles governing referential chains, we gathered data from three languages: English, Swedish and Hebrew, and studied how co-reference is expressed in a discourse. As a result of the study, a set of language specific co-reference strategies were identified. Using these strategies, an ontology based multilingual grammar for generating written natural language descriptions about paintings was implemented in the Grammatical Framework. A preliminary evaluation of our method shows language-dependent coreference strategies lead to better generation results.

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