Search Results for author: Tatiana Tsygankova

Found 4 papers, 0 papers with code

Building Low-Resource NER Models Using Non-Speaker Annotations

no code implementations NAACL (DaSH) 2021 Tatiana Tsygankova, Francesca Marini, Stephen Mayhew, Dan Roth

In low-resource natural language processing (NLP), the key problems are a lack of target language training data, and a lack of native speakers to create it.

Low Resource Named Entity Recognition Named Entity Recognition +1

Building Low-Resource NER Models Using Non-Speaker Annotation

no code implementations17 Jun 2020 Tatiana Tsygankova, Francesca Marini, Stephen Mayhew, Dan Roth

In low-resource natural language processing (NLP), the key problems are a lack of target language training data, and a lack of native speakers to create it.

Low Resource Named Entity Recognition Named Entity Recognition +1

BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer

no code implementations WS 2019 Tatiana Tsygankova, Stephen Mayhew, Dan Roth

This paper describes the Cognitive Computation (CogComp) Group{'}s submissions to the multilingual named entity recognition shared task at the Balto-Slavic Natural Language Processing (BSNLP) Workshop.

Multilingual Named Entity Recognition NER

ner and pos when nothing is capitalized

no code implementations IJCNLP 2019 Stephen Mayhew, Tatiana Tsygankova, Dan Roth

While prior work and first impressions might suggest training a caseless model, or using a truecaser at test time, we show that the most effective strategy is a concatenation of cased and lowercased training data, producing a single model with high performance on both cased and uncased text.

Machine Translation Named Entity Recognition +4

Cannot find the paper you are looking for? You can Submit a new open access paper.