Hidden Word Structure is a paper-level academic contribution that constitutes a method, model, framework, theory, construct, dataset, task, or metric specifically designed to encode or reveal latent linguistic elements within riddle formulations.
44
Publications
4.6K
Citations
107
Authors
60
Institutions
Publications per year
2017–2026
10
Parents
Publications
44
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cícero dos Santos et al. · 2016 · 2.2K citations · Full text
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi et al. · 2017 · 279 citations · Full text
Language Studies, Computer Science, Computational Linguistics +16
1–5 of 44
Authors
107
- FJ
3
h-index
- CC
3
h-index
- ZZ
2
h-index
- ÇG
2
h-index
- CN
2
h-index
1–5 of 107
Institutions
60
Johns Hopkins University
Baltimore, United States
5 h-index
9 publications
237 citations
Institute of Computing Technology
Beijing, China
2 h-index
6 publications
218 citations
Beijing Institute of Technology
Beijing, China
2 h-index
7 publications
259 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
218 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
116 citations
Queens College, CUNY
New York, United States
1 h-index
2 publications
30 citations
Instituto Politécnico Nacional
Mexico City, Mexico
1 h-index
1 publications
12 citations
Temple University
Philadelphia, United States
1 h-index
1 publications
37 citations
1–8 of 60
Venues
- ArXiv.org
Repository · 3 publications · 149 citations
3
h-index
- European Journal of Psychology of Education
2 publications · 32 citations
2
h-index
- Language
2 publications · 40 citations
2
h-index
- arXiv (Cornell University)
Repository · 2 publications · 398 citations
2
h-index
- Pattern Recognition
1 publications · 15 citations
1
h-index
1–5