When "looking at WALS" in the context of RoBERTa, researchers typically focus on to see how they impact a model's ability to process language. These include:
This research moves us closer to "opening the black box." By confirming that RoBERTa learns WALS features, we validate that these models are not just shallow pattern matchers but internalize concepts that linguists have defined manually for decades. wals roberta sets
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