Shift-reduce Parsing
Shift-Reduce Parsing is a bottom-up syntax analysis method that repeatedly applies shift and reduce actions to parse input according to a formal grammar, distinguishing itself by constructing the parse tree incrementally from the leaves upward through stack-based manipulation.
66
Publications
8.4K
Citations
121
Authors
77
Institutions
Publications per year
2017–2026
9
66
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian et al. · 2016 · 4.4K citations · Full text
Representation Learning for Text-level Discourse Parsing
Yangfeng Ji, Jacob Eisenstein · 2014 · 242 citations · Full text
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi et al. · 2016 · 236 citations · Full text
1–5 of 66
121
5
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 121
77
University of Cambridge
Cambridge, United Kingdom
6 h-index
11 publications
416 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
22.5K citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
781 citations
Singapore University of Technology and Design
Singapore, Singapore
3 h-index
4 publications
302 citations
Google (United States)
Mountain View, United States
3 h-index
8 publications
423 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
131 citations

National Institute of Informatics
Tokyo, Japan
2 h-index
4 publications
103 citations
Bridge University
Juba, South Sudan
2 h-index
2 publications
123 citations
1–8 of 77
2 publications · 72 citations
2
h-index
TACL · 2 publications · 67 citations
2
h-index
IJFCS · 1 publications · 28 citations
1
h-index
TSE · 1 publications · 28 citations
1
h-index
Repository · 1 publications · 30 citations
1
h-index
1–5