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Communication Dans Un Congrès Année : 2017

New convergences between Natural language processing and knowledge engineering at the era of the Semantic Web (SEMANTICS 2017)

Résumé

In my talk, I will first sketch the historical relations between NLP and KE, highlighting research challenges at their confluence. I will then focus on semantic relations to illustrate how the vision, formats and approaches proposed by the Semantic Web impact several dimensions of this research topic: their extraction from text, their representation in knowledge bases and lexical resources as well as their use for richer semantic annotations. Thus I will draw an overview of the current approaches to identify semantic relations in text, with a special focus on the ways pattern-based solutions have evolved since early works, on machine learning methods and on the complementarity of various techniques to support this task. I will then report several representation models for semantic relations, that associate the conceptual part with linguistic information and lexical entries. I will finally present some models for a rich annotation including relations. I will conclude by stressing the need to capitalize better all the experiments and tools developed up to now, in particular by sharing not only representations and data, but also patterns and learning methods, and also by investigating more systematically how existing techniques can be used together in a single platform, and mutually benefit of each other's results.
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Dates et versions

hal-03128325 , version 1 (02-02-2021)

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  • HAL Id : hal-03128325 , version 1

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Nathalie Aussenac-Gilles. New convergences between Natural language processing and knowledge engineering at the era of the Semantic Web (SEMANTICS 2017). Conference on Semantic Systems (SEMANTICS 2017), Sep 2017, Amsterdam, Netherlands. ⟨hal-03128325⟩
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