A Deep Dive into Word Sense Disambiguation with LSTM

COLING, pp. 354-365, 2018.

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Abstract:

LSTM-based language models have been shown effective in Word Sense Disambiguation (WSD). In particular, the technique proposed by Yuan et al. (2016) returned state-of-the-art performance in several benchmarks, but neither the training data nor the source code was released. This paper presents the results of a reproduction study and analys...More

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