Towards the Fully Automatic Merging of Lexical Resources: A Step Forward
Muntsa Padr\'o, N\'uria Bel, Silvia Necsulescu

TL;DR
This paper presents a general approach for fully automatic merging of lexical resources, successfully applied to Spanish subcategorization frames and morphosyntactic lexica, demonstrating its versatility and effectiveness.
Contribution
The paper introduces a novel, general technique for automatic lexical resource merging, extending previous work to morphosyntactic lexica encoded in LMF.
Findings
Technique achieves good results in merging different types of lexical resources
Approach demonstrates generality across multiple lexical merging tasks
Significant step towards fully automatic lexical resource integration
Abstract
This article reports on the results of the research done towards the fully automatically merging of lexical resources. Our main goal is to show the generality of the proposed approach, which have been previously applied to merge Spanish Subcategorization Frames lexica. In this work we extend and apply the same technique to perform the merging of morphosyntactic lexica encoded in LMF. The experiments showed that the technique is general enough to obtain good results in these two different tasks which is an important step towards performing the merging of lexical resources fully automatically.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Syntax, Semantics, Linguistic Variation
