Neural name tagging for low-resource languages

Authors
Zhang, Boliang
ORCID
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Other Contributors
Ji, Heng
Cho, Kyunghyun
Hendler, James A.
McGuinness, Deborah L.
Zettlemoyer, Luke S., 1978-
Issue Date
2019-08
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
At last, we investigate training LL name taggers without using any LL annotation. We transfer a name tagger that trained on HL annotations to a LL name tagger via two unsupervised approaches: 1) cross-lingual word embedding where we align monolingual word embedding of HL and LL into a shared space, and 2) cross-lingual language model where instead of aligning word embedding, we project the contextualized word embedding (language model) of HL and LL into a shared space.
Description
August 2019
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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