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A Lesk-inspired Unsupervised Algorithm for Lexical Choice from WordNet Synsets

Valerio Basile 1, *
* Corresponding author
Abstract : The generation of text from abstract meaning representations involves, among other tasks, the production of lexical items for the concepts to realize. Using WordNet as a foundational ontology, we exploit its internal network structure to predict the best lemmas for a given synset without the need for annotated data. Experiments based on re-generation and automatic evaluation show that our novel algorithm is more effective than a straightforward frequency-based approach
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https://hal.inria.fr/hal-01228924
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Valerio Basile. A Lesk-inspired Unsupervised Algorithm for Lexical Choice from WordNet Synsets. First Italian Conference on Computational Linguistics, 2014, Pisa, Italy. ⟨10.12871/CLICIT2014110⟩. ⟨hal-01228924⟩

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