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Títol:
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Towards the Automatic Merging of Lexical Resources: Automatic Mapping
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Autor/a:
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Padró, Muntsa; Bel Rafecas, Núria; Necşulescu, Silvia
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Abstract:
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Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to have richer resources with a broad range of potential uses for a significant number of languages.With the objective of reducing cost by/neliminating human intervention, we present a new method for automating the merging of resources,with special emphasis in what we call the mapping step. This mapping step, which converts the resources into a common format that allows latter the merging, is usually performed with huge manual effort and thus makes the whole process very costly. Thus, we propose a method to perform this mapping fully automatically. To test our method, we have addressed the merging of two verb subcategorization frame lexica for Spanish, The results/nachieved, that almost replicate human work, demonstrate the feasibility of the approach. |
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Matèries:
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-Lexical resources
-Automatic mapping
-Automatic merging |
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Drets:
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© ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License
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Tipus de document:
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Objecte de conferència
Article - Versió publicada |
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Publicat per:
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ACL (Association for Computational Linguistics)
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Compartir:
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