Publikationer pr. år
Publikationer pr. år
Manuel Rafael Ciosici, Leon Derczynski, Ira Assent
Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
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.
Originalsprog | Engelsk |
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Titel | Long and Short Papers : Human Language Technologies |
Redaktører | Jill Burstein, Christy Doran, Thamar Solorio |
Antal sider | 10 |
Vol/bind | 1 |
Udgivelsessted | Stroudsburg, PA |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2019 |
Sider | 1541-1550 |
ISBN (Trykt) | 978-1-950737-13-0 |
ISBN (Elektronisk) | 9781950737130 |
Status | Udgivet - 2019 |
Begivenhed | Annual Conference of the North American Chapter of the Association for Computational Linguistics - Hyatt Regency, Minneapolis, USA Varighed: 3 jun. 2019 → 5 jun. 2019 https://naacl2019.org |
Konference | Annual Conference of the North American Chapter of the Association for Computational Linguistics |
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Lokation | Hyatt Regency |
Land/Område | USA |
By | Minneapolis |
Periode | 03/06/2019 → 05/06/2019 |
Internetadresse |
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling