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Communication Dans Un Congrès Année : 2020

Towards Automatic Thesaurus Construction and Enrichment.

Claudia Lanza
  • Fonction : Auteur
Amir Hazem
  • Fonction : Auteur
  • PersonId : 1103522

Résumé

Thesaurus construction with minimum human efforts often relies on automatic methods to discover terms and their relations. Hence, the quality of a thesaurus heavily depends on the chosen methodologies for: (i) building its content (terminology extraction task) and (ii) designing its structure (semantic similarity task). The performance of the existing methods on automatic thesaurus construction is still less accurate than the handcrafted ones of which is important to highlight the drawbacks to let new strategies build more accurate thesauri models. In this paper, we will provide a systematic analysis of existing methods for both tasks and discuss their feasibility based on an Italian Cybersecurity corpus. In particular, we will provide a detailed analysis on how the semantic relationships network of a thesaurus can be automatically built, and investigate the ways to enrich the terminological scope of a thesaurus by taking into account the information contained in external domain-oriented semantic sets.
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Dates et versions

hal-03478035 , version 1 (13-12-2021)

Identifiants

  • HAL Id : hal-03478035 , version 1

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Claudia Lanza, Amir Hazem, Béatrice Daille. Towards Automatic Thesaurus Construction and Enrichment.. 6th International Workshop on Computational Terminology (COMPUTERM 2020), European Language Resources Association, May 2020, Marseille, France. ⟨hal-03478035⟩
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