Abstract
Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We propose an extension to WordNet, with new terms that have been found from Twitter and Reddit, and cover language usage that is emergent or vulgar. In addition to our methodology for extraction, we analyze new terms to provide information about how new words are entering the English language. Finally, we discuss publishing this resource both as linguistic linked open data and as part of the Global WordNet Association’s Interlingual Index.
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Notes
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This end point provides a sample of approximately 1% of all tweets.
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Compiled at http://norvig.com/ngrams/.
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We have aimed to combine this resource with our data, but discussions with the authors on licensing have been inconclusive.
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Acknowledgements
This work was supported in part by the Science Foundation Ireland under Grant Number SFI/12/RC/2289 (Insight) and NIH/NCATS Clinical and Translational Science Awards to the University of Florida UL1 TR000064/UL1 TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH/NCATS.
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McCrae, J.P., Wood, I., Hicks, A. (2017). The Colloquial WordNet: Extending Princeton WordNet with Neologisms. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_17
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