136 citations · 154 across the 5 of their papers we have counts for
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cs.CL2019
Wasserstein distances for evaluating cross-lingual embeddings
Georgios Balikas, Ioannis Partalas
Word embeddings are high dimensional vector representations of words that capture their semantic similarity in the vector space. There exist several algorithms for learning such em…
cs.CL2017★ 11 cited
CAp 2017 challenge: Twitter Named Entity Recognition
Cédric Lopez, Ioannis Partalas, Georgios Balikas +5
The paper describes the CAp 2017 challenge. The challenge concerns the problem of Named Entity Recognition (NER) for tweets written in French. We first present the data preparation…