Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367294562> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4367294562 endingPage "558" @default.
- W4367294562 startingPage "550" @default.
- W4367294562 abstract "The choice of a good word representation is often essential to carry out automatic processing tasks of written or spoken natural language. The “bag-of-words” representation is the most commonly used, where documents are represented by the frequency vectors of the words that compose them. However, this representation has the drawback of capturing very little information about the structure of the documents and their relationship to each other. For this reason, approaches based on n-grams have been introduced. More recently, methods based on artificial neural networks such as Word2Vec, GloVe and BERT have become popular. These methods are able to represent a word in the form of real-valued vectors with controlled size. This vector corresponds to the position of the word in a multi-dimensional space. This type of technique is called Word embedding. This paper proposes an original method based on AL-khalil Morpho Sys to generate morphological word embeddings. The results show that the information carried by the new vector allows to obtain relevant results for a concrete application such as Part of speech tagging." @default.
- W4367294562 created "2023-04-29" @default.
- W4367294562 creator A5029325668 @default.
- W4367294562 creator A5040301937 @default.
- W4367294562 creator A5041492443 @default.
- W4367294562 creator A5071727818 @default.
- W4367294562 date "2023-01-01" @default.
- W4367294562 modified "2023-10-10" @default.
- W4367294562 title "New Arabic Word Embeddings to Improve NLP Applications" @default.
- W4367294562 cites W2295710275 @default.
- W4367294562 cites W2467216768 @default.
- W4367294562 cites W2493916176 @default.
- W4367294562 cites W2584934697 @default.
- W4367294562 cites W2767784948 @default.
- W4367294562 cites W2901215838 @default.
- W4367294562 cites W2935044269 @default.
- W4367294562 cites W2955603559 @default.
- W4367294562 cites W3100115330 @default.
- W4367294562 cites W4226443746 @default.
- W4367294562 cites W766476750 @default.
- W4367294562 doi "https://doi.org/10.1007/978-3-031-29860-8_56" @default.
- W4367294562 hasPublicationYear "2023" @default.
- W4367294562 type Work @default.
- W4367294562 citedByCount "0" @default.
- W4367294562 crossrefType "book-chapter" @default.
- W4367294562 hasAuthorship W4367294562A5029325668 @default.
- W4367294562 hasAuthorship W4367294562A5040301937 @default.
- W4367294562 hasAuthorship W4367294562A5041492443 @default.
- W4367294562 hasAuthorship W4367294562A5071727818 @default.
- W4367294562 hasConcept C111919701 @default.
- W4367294562 hasConcept C13336665 @default.
- W4367294562 hasConcept C138885662 @default.
- W4367294562 hasConcept C154945302 @default.
- W4367294562 hasConcept C17744445 @default.
- W4367294562 hasConcept C199539241 @default.
- W4367294562 hasConcept C204321447 @default.
- W4367294562 hasConcept C2524010 @default.
- W4367294562 hasConcept C2776359362 @default.
- W4367294562 hasConcept C2776461190 @default.
- W4367294562 hasConcept C2777462759 @default.
- W4367294562 hasConcept C2778572836 @default.
- W4367294562 hasConcept C33923547 @default.
- W4367294562 hasConcept C41008148 @default.
- W4367294562 hasConcept C41608201 @default.
- W4367294562 hasConcept C41895202 @default.
- W4367294562 hasConcept C89686163 @default.
- W4367294562 hasConcept C90805587 @default.
- W4367294562 hasConcept C94625758 @default.
- W4367294562 hasConceptScore W4367294562C111919701 @default.
- W4367294562 hasConceptScore W4367294562C13336665 @default.
- W4367294562 hasConceptScore W4367294562C138885662 @default.
- W4367294562 hasConceptScore W4367294562C154945302 @default.
- W4367294562 hasConceptScore W4367294562C17744445 @default.
- W4367294562 hasConceptScore W4367294562C199539241 @default.
- W4367294562 hasConceptScore W4367294562C204321447 @default.
- W4367294562 hasConceptScore W4367294562C2524010 @default.
- W4367294562 hasConceptScore W4367294562C2776359362 @default.
- W4367294562 hasConceptScore W4367294562C2776461190 @default.
- W4367294562 hasConceptScore W4367294562C2777462759 @default.
- W4367294562 hasConceptScore W4367294562C2778572836 @default.
- W4367294562 hasConceptScore W4367294562C33923547 @default.
- W4367294562 hasConceptScore W4367294562C41008148 @default.
- W4367294562 hasConceptScore W4367294562C41608201 @default.
- W4367294562 hasConceptScore W4367294562C41895202 @default.
- W4367294562 hasConceptScore W4367294562C89686163 @default.
- W4367294562 hasConceptScore W4367294562C90805587 @default.
- W4367294562 hasConceptScore W4367294562C94625758 @default.
- W4367294562 hasLocation W43672945621 @default.
- W4367294562 hasOpenAccess W4367294562 @default.
- W4367294562 hasPrimaryLocation W43672945621 @default.
- W4367294562 hasRelatedWork W2522836003 @default.
- W4367294562 hasRelatedWork W2567035470 @default.
- W4367294562 hasRelatedWork W2597125821 @default.
- W4367294562 hasRelatedWork W2612746495 @default.
- W4367294562 hasRelatedWork W2949267551 @default.
- W4367294562 hasRelatedWork W3123905954 @default.
- W4367294562 hasRelatedWork W3133560342 @default.
- W4367294562 hasRelatedWork W4321320117 @default.
- W4367294562 hasRelatedWork W4366478678 @default.
- W4367294562 hasRelatedWork W4377969636 @default.
- W4367294562 isParatext "false" @default.
- W4367294562 isRetracted "false" @default.
- W4367294562 workType "book-chapter" @default.