Thu, May 30, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Manuel Ciosici, Aarhus University
Talk Title: Quantifying the morphosyntactic content of Brown Clusters
Series: Natural Language Seminar
Abstract: Brown and Exchange word clusters have long been successfully used as word representations in Natural Language Processing NLP systems. Their success has been attributed to their seeming ability to represent both semantic and syntactic information. Using corpora representing several language families, we test the hypothesis that Brown and Exchange word clusters are highly effective at encoding morphosyntactic information. Our experiments show that word clusters are highly capable of distinguishing Parts of Speech. We show that increases in Average Mutual Information, the clustering algorithms' optimization goal, are highly correlated with improvements in encoding of morphosyntactic information. Our results provide empirical evidence that downstream NLP systems addressing tasks dependent on morphosyntactic information can benefit from word cluster features.
Biography: Manuel is a soon to graduate Ph.D. student at Aarhus University, Denmark. His research is focused on understanding the kinds of information encoded in word representations and how that information can be used in downstream NLP applications.
Host: Xusen Yin
More Info: https://nlg.isi.edu/nl-seminar
WebCast Link: https://bluejeans.com/s/diiPj/
Audiences: Everyone Is Invited
Contact: Peter Zamar