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How to (Properly) Evaluate Cross Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

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Figure

Figure 1: A general framework for post-hoc projection-based induction of cross-lingual word embeddings.
Table 1: Summary of BLI performance (MAP). AllwhichLPs: average scores over all 28 language pairs;Filt
Table 2: BLI performance (MAP) with a selection of models on a subset of evaluated language pairs.
Table 4: CLDC performance (micro-averaged F1scores); cross-lingual transfer EN–X. Numbers in bolddenote the best scores in the model group
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