Latent semantic network induction in the context of linked example senses
Hunter Scott Heidenreich, Jake Williams · 2019
The Princeton WordNet is a powerful tool for studying language and developing natural language processing algorithms.With significant work developing it further, one line considers its extension through aligning its expert-annotated structure with other lexical resources.In contrast, this work explores a completely data-driven approach to network construction, forming a wordnet using the entirety of the open-source, noisy, userannotated dictionary, Wiktionary.Comparing baselines to WordNet, we find compelling evidence that our network induction process constructs a network with useful semantic structure.With thousands of semanticallylinked examples that demonstrate sense usage from basic lemmas to multiword expressions (MWEs), we believe this work motivates future research.