70 citations · 95 across the 10 of their papers we have counts for
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cs.CL2020
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova +1
It has become a de-facto standard to represent words as elements of a vector space (word2vec, GloVe). While this approach is convenient, it is unnatural for language: words form a…
cs.CL2020
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Elena Voita, Rico Sennrich, Ivan Titov
In Neural Machine Translation (and, more generally, conditional language modeling), the generation of a target token is influenced by two types of context: the source and the prefi…
cs.CL2020
Information-Theoretic Probing with Minimum Description Length
Elena Voita, Ivan Titov
To measure how well pretrained representations encode some linguistic property, it is common to use accuracy of a probe, i.e. a classifier trained to predict the property from the…