Title
Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs.
Abstract
Abstract We develop a finite-state transducer for translating unranked trees into general graphs. This work is motivated by recent advancements in semantic parsing for natural language, where sentences are first mapped into syntactic representations which are tree-shaped, and in a second step these trees are translated into semantic representations which are graphs. We investigate formal properties of our tree-to-graphs transducers and develop a polynomial time algorithm for translating a weighted language of input trees into a packed representation, from which best-score graphs can efficiently be recovered.
Year
DOI
Venue
2019
10.1016/J.TCS.2020.12.012
FSMNLP
Field
DocType
Volume
Graph,Computer science,Top-down and bottom-up design,Theoretical computer science
Conference
870
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Johanna Björklund156.23
Shay B. Cohen229829.56
F. Drewes31046.85
Giorgio Satta490290.85