Our experiments show that word clusters are highly capable at distinguishing Parts of Speech. We show that increases in Average Mutual Information, the ...
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Word clustering groups words that exhibit similar properties. One popular method for this is Brown clustering, which uses short-range distributional information ...
Our results provide empirical evidence that downstream NLP systems addressing tasks dependent on morphosyntactic information can benefit from word cluster ...
Our experiments show that word clusters are highly capable of distinguishing Parts of Speech. We show that increases in Average Mutual Information, the ...
Our experiments show that word clusters are highly capable of distinguishing Parts of Speech. We show that increases in Average Mutual Information, the ...
Quantifying the morphosyntactic content of Brown Clusters. Manuel R. Ciosici, Leon Derczynski, Ira Assent. January 2019. Type. Conference paper. Publication.
Duration: 56:14
Posted: May 18, 2020
Posted: May 18, 2020
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Quantifying the morphosyntactic content of Brown Clusters. Manuel Rafael Ciosici, Leon Derczynski, Ira Assent · Department of Computer Science. Research output ...