Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- OA-Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Forlagets udgivne version, 572 KB, PDF-dokument
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo) |
| Forlag | Association for Computational Linguistics |
| Publikationsdato | 2019 |
| Sider | 253–258 |
| Status | Udgivet - 2019 |
| Begivenhed | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo) - Hong Kong, Kina Varighed: 3 nov. 2019 → 3 nov. 2019 |
Workshop
| Workshop | 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo) |
|---|---|
| Land | Kina |
| By | Hong Kong |
| Periode | 03/11/2019 → 03/11/2019 |
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
Ingen data tilgængelig
ID: 239206585