Automatic Prediction of the Performance of Every Parser [PDF]
arXivWe present a new parser performance prediction (PPP) model using machine translation performance prediction system (MTPPS), statistically independent of any language or parser, relying only on extrinsic and novel features based on textual, link structural, and bracketing tree structural information.
arxiv
A context-sensitive model for probabilistic LR parsing of spoken language with transformation-based postprocessing [PDF]
, 2000 Tobias Ruland
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A single NLR gene confers resistance to leaf and stripe rust in wheat
, 2023 Sharon A +32 more
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TNT Loss: A Technical and Nontechnical Generative Cooperative Energy Loss Detection System. [PDF]
Sensors (Basel), 2022 Calamaro N +3 more
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Globalization of Incorporating Adjacent Symbol Connection Constraints into an LR Parsing Table
, 2009 Tomoya Noro +3 more
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A Survey on Deep Networks Approaches in Prediction of Sequence-Based Protein-Protein Interactions. [PDF]
SN Comput Sci, 2022 Mewara B, Lalwani S.
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Error repair with validation in LR-based parsing [PDF]
, 2001 Ik-Soon Kim, Kwang-Moo Choe
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Federated Learning via Augmented Knowledge Distillation for Heterogenous Deep Human Activity Recognition Systems. [PDF]
Sensors (Basel), 2022 Gad G, Fadlullah Z.
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A Bounded Graph-Connect Construction for LR-regular Parsers [PDF]
, 2001 Jacques Farré, José Fortes Gálvez
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