: NLP Vocabulary: lexicon

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lexicon

For each term in the expanded lexicon we looked up all its synsets. (Bar-Haim, Edelstein, Jochim & Slonim, 2017)
For each word in the lexicon which also had a word embedding (6438 words) we trained our classifier on the remaining frequent words and tested the prediction of the held-out word. (Bar-Haim, Edelstein, Jochim & Slonim, 2017)
Statistical machine translation algorithms tend to disregard lexicons. (Hathout & Sajous, 2016)
Such lexicons may reveal French or Canadian origin in author profiling or identification in a similar way to Tanguy et al. (Hathout & Sajous, 2016)
Unlike in English identifying constraints based on protein domain knowledge is difficult because there are no lexicon or protein language rules readily available. (Ganesan, Tendulkar & Chakraborti, 2017)

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