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• W2989383881 abstract "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, user-annotated 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 semantically-linked examples that demonstrate sense usage from basic lemmas to multiword expressions (MWEs), we believe this work motivates future research." @default.
• W2989383881 created "2019-11-22" @default.
• W2989383881 creator A5017691448 @default.
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• W2989383881 date "2019-01-01" @default.
• W2989383881 modified "2023-09-27" @default.
• W2989383881 title "Latent semantic network induction in the context of linked example senses" @default.
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• W2989383881 doi "https://doi.org/10.18653/v1/d19-5523" @default.
• W2989383881 hasPublicationYear "2019" @default.
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