CLMar 8, 2013

Towards the Fully Automatic Merging of Lexical Resources: A Step Forward

arXiv:1303.1929v15 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of integrating diverse lexical databases for computational linguistics, though it appears incremental as it builds on prior methods.

The researchers tackled the problem of automatically merging lexical resources by extending a previously developed technique from Spanish Subcategorization Frames to morphosyntactic lexica in LMF format, achieving good results that demonstrate the approach's generality.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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