FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089784134> ?p ?o ?g. }

• W3089784134 abstract "Authorship identification tasks, which rely heavily on linguistic styles, have always been an important part of Natural Language Understanding (NLU) research. While other tasks based on linguistic style understanding benefit from deep learning methods, these methods have not behaved as well as traditional machine learning methods in many authorship-based tasks. With these tasks becoming more and more challenging, however, traditional machine learning methods based on handcrafted feature sets are already approaching their performance limits. Thus, in order to inspire future applications of deep learning methods in authorship-based tasks in ways that benefit the extraction of stylistic features, we survey authorship-based tasks and other tasks related to writing style understanding. We first describe our survey results on the current state of research in both sets of tasks and summarize existing achievements and problems in authorship-related tasks. We then describe outstanding methods in style-related tasks in general and analyze how they are used in combination in the top-performing models. We are optimistic about the applicability of these models to authorship-based tasks and hope our survey will help advance research in this field." @default.
• W3089784134 created "2020-10-08" @default.
• W3089784134 creator A5023339675 @default.
• W3089784134 creator A5023492006 @default.
• W3089784134 creator A5035399743 @default.
• W3089784134 creator A5043402333 @default.
• W3089784134 date "2020-09-30" @default.
• W3089784134 modified "2023-10-14" @default.
• W3089784134 title "Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding" @default.
• W3089784134 cites W1614298861 @default.
• W3089784134 cites W1967807490 @default.
• W3089784134 cites W2110302976 @default.
• W3089784134 cites W2131774270 @default.
• W3089784134 cites W2162010436 @default.
• W3089784134 cites W2166706824 @default.
• W3089784134 cites W2251294039 @default.
• W3089784134 cites W2251648804 @default.
• W3089784134 cites W2251939518 @default.
• W3089784134 cites W2295585256 @default.
• W3089784134 cites W2406451213 @default.
• W3089784134 cites W2460159515 @default.
• W3089784134 cites W2465978385 @default.
• W3089784134 cites W2466778245 @default.
• W3089784134 cites W2523437799 @default.
• W3089784134 cites W2536725458 @default.
• W3089784134 cites W2563010554 @default.
• W3089784134 cites W2626778328 @default.
• W3089784134 cites W2752647243 @default.
• W3089784134 cites W2753259282 @default.
• W3089784134 cites W2757541972 @default.
• W3089784134 cites W2758226690 @default.
• W3089784134 cites W2758334418 @default.
• W3089784134 cites W2785898490 @default.
• W3089784134 cites W2800534405 @default.
• W3089784134 cites W2805662932 @default.
• W3089784134 cites W2883409523 @default.
• W3089784134 cites W2891359673 @default.
• W3089784134 cites W2891582949 @default.
• W3089784134 cites W2892317048 @default.
• W3089784134 cites W2946133598 @default.
• W3089784134 cites W2955864671 @default.
• W3089784134 cites W2962808042 @default.
• W3089784134 cites W2962956866 @default.
• W3089784134 cites W2962977603 @default.
• W3089784134 cites W2963119602 @default.
• W3089784134 cites W2963168371 @default.
• W3089784134 cites W2963272610 @default.
• W3089784134 cites W2963341956 @default.
• W3089784134 cites W2963635943 @default.
• W3089784134 cites W2963703618 @default.
• W3089784134 cites W2963858333 @default.
• W3089784134 cites W2964015378 @default.
• W3089784134 cites W2964071174 @default.
• W3089784134 cites W2964207259 @default.
• W3089784134 cites W2964308564 @default.
• W3089784134 cites W2964321064 @default.
• W3089784134 cites W2964361336 @default.
• W3089784134 cites W2965117384 @default.
• W3089784134 cites W2965154709 @default.
• W3089784134 cites W2965278355 @default.
• W3089784134 cites W2965449967 @default.
• W3089784134 cites W2965805068 @default.
• W3089784134 cites W2965968305 @default.
• W3089784134 cites W2966657483 @default.
• W3089784134 cites W2966741016 @default.
• W3089784134 cites W2966861111 @default.
• W3089784134 cites W2970252517 @default.
• W3089784134 cites W2970402358 @default.
• W3089784134 cites W2970431814 @default.
• W3089784134 cites W2970748008 @default.
• W3089784134 cites W2970834921 @default.
• W3089784134 cites W2971014768 @default.
• W3089784134 cites W2971150411 @default.
• W3089784134 cites W2971220558 @default.
• W3089784134 cites W2984775670 @default.
• W3089784134 cites W3037245372 @default.
• W3089784134 cites W3106003309 @default.
• W3089784134 cites W3205498744 @default.
• W3089784134 doi "https://doi.org/10.48550/arxiv.2009.14445" @default.
• W3089784134 hasPublicationYear "2020" @default.
• W3089784134 type Work @default.
• W3089784134 sameAs 3089784134 @default.
• W3089784134 citedByCount "1" @default.
• W3089784134 countsByYear W30897841342021 @default.
• W3089784134 crossrefType "posted-content" @default.
• W3089784134 hasAuthorship W3089784134A5023339675 @default.
• W3089784134 hasAuthorship W3089784134A5023492006 @default.
• W3089784134 hasAuthorship W3089784134A5035399743 @default.
• W3089784134 hasAuthorship W3089784134A5043402333 @default.
• W3089784134 hasBestOaLocation W30897841341 @default.
• W3089784134 hasConcept C116834253 @default.
• W3089784134 hasConcept C13622073 @default.
• W3089784134 hasConcept C138885662 @default.
• W3089784134 hasConcept C154945302 @default.
• W3089784134 hasConcept C166957645 @default.
• W3089784134 hasConcept C195324797 @default.
• W3089784134 hasConcept C202444582 @default.
• W3089784134 hasConcept C204321447 @default.
• W3089784134 hasConcept C2522767166 @default.
• W3089784134 hasConcept C2776445246 @default.

• next