Results 41 to 50 of about 127,710 (314)

Dependency parsing as a classification problem [PDF]

open access: yesProceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06, 2006
This paper presents an approach to dependency parsing which can utilize any standard machine learning (classification) algorithm. A decision list learner was used in this work. The training data provided in the form of a treebank is converted to a format in which each instance represents information about one word pair, and the classification indicates
openaire   +3 more sources

Dependency Model-Based Multiple Fault Diagnosis Using Knowledge of Test Result and Fault Prior Probability

open access: yesApplied Sciences, 2019
Aiming at solving the multiple fault diagnosis problem as well as the sequence of all the potential multiple faults simultaneously, a new multiple fault diagnosis method based on the dependency model method as well as the knowledge in test results and ...
Xiaofeng Lv   +3 more
doaj   +1 more source

Abnormal behavior capture of video dynamic target based on 3D convolutional neural network

open access: yesFrontiers in Neurorobotics, 2022
The use of computers to understand video content can accurately and quickly label various videos. Behavior recognition technology can help users filter the video by screening the content.
Fei Chen
doaj   +1 more source

Justification for inclusion dependency normal form [PDF]

open access: yes, 2000
Functional dependencies (FDs) and inclusion dependencies (INDs) are the most fundamental integrity constraints that arise in practice in relational databases.
Vincent, Millist W., Levene, Mark
core   +1 more source

The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing

open access: yesNorthern European Journal of Language Technology, 2019
Dependency parsing can be cast as a combinatorial optimization problem with the objective to find the highest-scoring graph, where edge scores are learnt from data. Several of the decoding algorithms that have been applied to this task employ structural
Robin Kurtz, Marco Kuhlmann
doaj   +1 more source

Neural Machine Translation Model Combining Dependency Syntax and LSTM

open access: yesJournal of Harbin University of Science and Technology, 2023
For the problem of the lack of linguistic knowledge, and the insufficient flexibility of positional encoding in the neural machine translation model which is called Transformer, this paper introduces dependency syntax analysis and the long short-term ...
ZHENG Xin   +3 more
doaj   +1 more source

Model-Based Assessment of Energy Dependency Policies: A System Dynamics Approach [PDF]

open access: yesچشم‌انداز مدیریت صنعتی, 2019
The high and unreasonable demand for fuel in Iran, and also the excessive and irrational consumption of fuel in various sectors, including transportation along with cheap fuel for power generation plants, the lack of proper standards for fuel consumption
Mahdi Bastan, Hamed Shakouri Ganjavi
doaj   +1 more source

Dependability Problems in Interconnected World [PDF]

open access: yes2019 8th Mediterranean Conference on Embedded Computing (MECO), 2019
Development of new technologies and especially the basic principles of Industry 4.0 (interconnection, IoT, information transparency, technical assistance, cyber physical systems and decentralization) means not only standard improvements, e.g. increasing of performance, but also some negative issues.
openaire   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot   +6 more
wiley   +1 more source

Dependency Parsing [PDF]

open access: yes, 2009
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today.
McDonald, Ryan   +5 more
core   +1 more source

Home - About - Disclaimer - Privacy