Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315694984> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4315694984 abstract "In order to evaluate students’ total skills, educators repeatedly utilize questions based on free text to evaluate students’ total skills. Yet, when correction is done manually errors occur in addition to long time periods used, hard work, high costs and different opinions as to how to correct papers, a single paper is corrected by multiple people to avoid partiality. Thus, the smart system for automatic grading can solve the problem. Here, we present a very advanced system for grading essays automatically. This is based on Natural Language Processing and Deep Learning technologies. Thus, we need a system to automatically grade essays with low costs, less time and more accurate scores. We need thus an inelegant system for correcting essay questions on an automatic basis. We introduced a method which encodes essays in the form of sequential embeddings. We then use a long Short Term Memory Network (LSTM) working in two directions in order to register semantic information. This method also focuses concentration on each essay in order to be taught how to focus on those materials which are authentic in articles. We can also thus get a good proof of the result of prediction. This BI LSTM may be utilized also to produce neural networks which have the sequence information in the two directions: from the future to the past (backwards) or vice versa, which is called Bidirectional Long Short-Term Memory (BI-LSTM) (past to future). In order to train and test, we utilized the popular set of essays presented in the Automated Student Assessment Prize by Kaggle. The smart system used for automatic grading, in our research, predicts grades in an up-to-date manner. Moreover, the smart system for autograding we have proposed has the ability to highlight important words and sentences, evaluate the logical relationships in meaning in a sentence and gives us in advance grades that can be explained." @default.
- W4315694984 created "2023-01-12" @default.
- W4315694984 creator A5014673704 @default.
- W4315694984 creator A5040261331 @default.
- W4315694984 creator A5088135899 @default.
- W4315694984 date "2022-10-27" @default.
- W4315694984 modified "2023-10-03" @default.
- W4315694984 title "Improved Automated Essay Grading System Via Natural Language Processing and Deep Learning" @default.
- W4315694984 cites W2802392912 @default.
- W4315694984 cites W2936061554 @default.
- W4315694984 cites W2955427418 @default.
- W4315694984 cites W3034286520 @default.
- W4315694984 cites W3128034540 @default.
- W4315694984 cites W3191586991 @default.
- W4315694984 doi "https://doi.org/10.1109/iceet56468.2022.10007407" @default.
- W4315694984 hasPublicationYear "2022" @default.
- W4315694984 type Work @default.
- W4315694984 citedByCount "0" @default.
- W4315694984 crossrefType "proceedings-article" @default.
- W4315694984 hasAuthorship W4315694984A5014673704 @default.
- W4315694984 hasAuthorship W4315694984A5040261331 @default.
- W4315694984 hasAuthorship W4315694984A5088135899 @default.
- W4315694984 hasConcept C108583219 @default.
- W4315694984 hasConcept C119857082 @default.
- W4315694984 hasConcept C120665830 @default.
- W4315694984 hasConcept C121332964 @default.
- W4315694984 hasConcept C127413603 @default.
- W4315694984 hasConcept C147168706 @default.
- W4315694984 hasConcept C147176958 @default.
- W4315694984 hasConcept C154945302 @default.
- W4315694984 hasConcept C177264268 @default.
- W4315694984 hasConcept C192209626 @default.
- W4315694984 hasConcept C195324797 @default.
- W4315694984 hasConcept C199360897 @default.
- W4315694984 hasConcept C204321447 @default.
- W4315694984 hasConcept C2777286243 @default.
- W4315694984 hasConcept C41008148 @default.
- W4315694984 hasConcept C50644808 @default.
- W4315694984 hasConceptScore W4315694984C108583219 @default.
- W4315694984 hasConceptScore W4315694984C119857082 @default.
- W4315694984 hasConceptScore W4315694984C120665830 @default.
- W4315694984 hasConceptScore W4315694984C121332964 @default.
- W4315694984 hasConceptScore W4315694984C127413603 @default.
- W4315694984 hasConceptScore W4315694984C147168706 @default.
- W4315694984 hasConceptScore W4315694984C147176958 @default.
- W4315694984 hasConceptScore W4315694984C154945302 @default.
- W4315694984 hasConceptScore W4315694984C177264268 @default.
- W4315694984 hasConceptScore W4315694984C192209626 @default.
- W4315694984 hasConceptScore W4315694984C195324797 @default.
- W4315694984 hasConceptScore W4315694984C199360897 @default.
- W4315694984 hasConceptScore W4315694984C204321447 @default.
- W4315694984 hasConceptScore W4315694984C2777286243 @default.
- W4315694984 hasConceptScore W4315694984C41008148 @default.
- W4315694984 hasConceptScore W4315694984C50644808 @default.
- W4315694984 hasLocation W43156949841 @default.
- W4315694984 hasOpenAccess W4315694984 @default.
- W4315694984 hasPrimaryLocation W43156949841 @default.
- W4315694984 hasRelatedWork W2793022090 @default.
- W4315694984 hasRelatedWork W2919358988 @default.
- W4315694984 hasRelatedWork W3107474891 @default.
- W4315694984 hasRelatedWork W3192794374 @default.
- W4315694984 hasRelatedWork W4220740160 @default.
- W4315694984 hasRelatedWork W4223943233 @default.
- W4315694984 hasRelatedWork W4281386417 @default.
- W4315694984 hasRelatedWork W4298168912 @default.
- W4315694984 hasRelatedWork W4312200629 @default.
- W4315694984 hasRelatedWork W4317242789 @default.
- W4315694984 isParatext "false" @default.
- W4315694984 isRetracted "false" @default.
- W4315694984 workType "article" @default.