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MOTIF: Contextualized Images for Complex Words to Improve Human Reading
In this respect, several traditional NLP approaches can assist L2 readers in text comprehension processes, such as simplifying text or giving dictionary descriptions for complex words.
TransDrift: Modeling Word-Embedding Drift using Transformer
In experiments, we compare with existing methods and show that our model makes significantly more accurate predictions of the word embedding than the baselines.
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