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Domain-Aware Feature Learning with Grammar-Guided Genetic Programming
Feature Learning (FL) is key to well-performing machine learning models. However, the most popular FL methods lack interpretability, which is...
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Design and Implementation of English Grammar Error Correction System Based on Deep Learning
The purpose of this project is to develop an English grammar error correction system based on deep learning. The system will be able to recognize...
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Grammar-Based Question Classification Using Ensemble Learning Algorithms
Question Classification is one of the important applications of information retrieval, as it plays a crucial role in improving the performance of...
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GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task
In this study, we proposed an efficient method to improve the performance of the hierarchical semantic parsing task by strengthening the meaning...
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Grammar Induction - Experimental Results
The OpenCog Learning project explores novel techniques for the induction of symbolic structure from environmental sources. As a first application of...
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“Training Impaired Grammar” – A Serious Game for Agrammatism Treatment
Agrammatism is a common symptom occurring in post-stroke aphasia and frequently addressed in traditional language therapy. However, most commercial...
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Grammar-Based Vectorial Genetic Programming for Symbolic Regression
Vectorial Genetic Programming (GP) is a young branch of GP, where the training data for symbolic models not only include regular, scalar variables,...
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Considering optimization of English grammar error correction based on neural network
English expression, language characteristics and usage norms are quite special, which is quite different from Chinese. This has special requirements...
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On the Complexity of the Smallest Grammar Problem over Fixed Alphabets
In the smallest grammar problem, we are given a word w and we want to compute a preferably small context-free grammar G for the singleton language { w }...
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Object Parsing Expressions for Unplanned, Unmodified, and Incremental Grammar Reuse
Develo** families of software languages requires, among others, composable grammar definitions. Object Parsing-Expression Grammars (OPEGs) serve as...
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Using Context-Free Grammar to Generate Synthetic Technical Short Texts
Valuable technical information are buried in the under-utilised, user-generated technical texts in engineering domains, such as manufacturing,...
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Parallel graph-grammar-based algorithm for the longest-edge refinement of triangular meshes and the pollution simulations in Lesser Poland area
In this paper, we propose parallel graph-grammar-based algorithm for the longest-edge refinements and the pollution simulations in Lesser Poland...
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Grammar-Guided Evolution of the U-Net
Deep learning is an effective and efficient method for image segmentation. Several neural network designs have been investigated, a notable example...
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Using Gamification to Develop Vocabulary and Grammar Among A1 Level of English Students: A Quasi-Experimental Design
Gamification is an emerging strategy for teaching English as a foreign language and has helped teachers empower and motivate students. It also...
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An Intelligent Grammar-Based Platform for RNA H-type Pseudoknot Prediction
Predicting the secondary structure of RNA sequences has been proved quite a challenging research field for bioinformatics. Predicting structures that...
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Research on the In-Depth Recommendation Method of Grammar Topics for English Online Teaching
In the process of grammatical topic recommendation, affected by the dimension of word vector, there is a problem of low recommendation accuracy. To...
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Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching
This paper aims to explore the effective mode of computer-assisted corrective feedback applied to foreign language teaching. Through experimental...
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Formal Grammar Theory in Recognition Methods of Unknown Objects
Questions on the formation of contextual grammars that describe both the structural information of an image and the interaction of images in a...
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Grammar-based automatic programming for medical data classification: an experimental study
In a computational medical model, diagnosis is the classification of disease status in the terms of abnormal or positive , normal or negative or interme...
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Cadences in Grammar-Compressed Strings
Cadences are structurally maximal arithmetic progressions of indices corresponding to equal characters in an underlying string. This paper provides a...