Composing extended top-down tree transducers
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Preservation of Recognizability for Weighted Linear Extended Top-Down Tree Transducers
2012-04-01 · WS 2012 4
· Nina Seemann, Daniel Quernheim, Fabienne Braune, Andreas Maletti
Language ModellingMachine Translation
Extended Tree Transducers in Natural Language Processing
2015-01-01 · WS 2015 1
· Andreas Maletti
Machine Translation
Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs
2019-09-01 · WS 2019 9
· Johanna Bj{\"o}rklund, Shay B. Cohen, Frank Drewes, Giorgio Satta
We propose a formal model for translating unranked syntactic trees, such as dependency trees, into semantic graphs. These tree-to-graph transducers can serve as a formal basis of transition systems for semantic parsing w…
ARCSemantic ParsingTranslationFrom monoliths to modules: Decomposing transducers for efficient world modelling
2025-12-01
· Alexander Boyd, Franz Nowak, David Hyland, Manuel Baltieri 외
arxiv
World models have been recently proposed as sandbox environments in which AI agents can be trained and evaluated before deployment. While realistic world models often have high computational demands, this can often be al…
Computational EfficiencyNeural Tree Transducers for Tree to Tree Learning
2018-01-01 · ICLR 2018 1
· João Sedoc, Dean Foster, Lyle Ungar
We introduce a novel approach to tree-to-tree learning, the neural tree transducer (NTT), a top-down depth first context-sensitive tree decoder, which is paired with recursive neural encoders. Our method works purely on …
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