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The term "authorship provision" in the context of "AUGMENT" (a system by
Douglas Engelbart) refers to tools and features designed to support the authoring process, while "augmentation" in the broader field of AI and machine learning refers to methods for improving a model's performance by adding new data or by using synthetic data to augment the training set for tasks like authorship verification. In the context of the AUGMENT system, provisions were made for basic tasks like composing, modifying, and studying working materials. In contrast, in modern AI, augmentation is used to train models to better recognize or manipulate authorship styles. In Engelbart's AUGMENT system
- Definition: Provisions for the authoring process, which included tools to speed up tasks like composing, modifying, and studying working material.
- Focus: Provided support for basic operations, flexibility, and the ability to analyze work from a single passage to a collection of documents and notes.
- Goal: To augment the author's capabilities by providing a flexible and efficient environment for creating and managing content.
In modern AI and machine learning
- Definition: Techniques used to improve models, often in the context of tasks like authorship verification or style transfer, by increasing the size or diversity of the training data.
- Methods:
- Data Augmentation: Synthetically generating new examples to train classifiers, such as creating texts in a specific style to improve a model's ability to identify that style or to make it more robust to adversarial attacks.
- Style Augmentation: Using techniques like "inverse transfer" to convert stylized texts into more neutral ones or to generate new texts in a target style to overcome data scarcity.
- Counterfactual Augmentation: Creating "style-counterfactual" examples (similar content, different style) or "content-counterfactual" examples (different content, similar style) to make models more robust.
- Goal: To create more accurate, robust, and adaptable models by using augmented data to overcome limitations such as data scarcity or an adversarial environment.
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Authorship Provisions in AUGMENT - 1984 (OAD,2250,)
Doug Engelbart Institute
https://dougengelbart.org › oad-2250
Doug Engelbart Institute
https://dougengelbart.org › oad-2250
by DC EngelbartCited by 247 — AUGMENT's authorship provisions aim to bring high performance to knowledge workers, supporting speed and flexibility for organizing and ...
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Authorship provisions in AUGMENT
ACM Digital Library
https://dl.acm.org › doi
ACM Digital Library
https://dl.acm.org › doi
Abstract. The question of Caesarian authorship of De Bello Alexandrino, De Bello Africo, and De Bello Hispaniensi has puzzled classical scholars for ...
Authorship provisions in AUGMENT (Reprint)
ACM Digital Library
https://dl.acm.org › doi
ACM Digital Library
https://dl.acm.org › doi
by DC Engelbart1988Cited by 4 — This paper attempts to identify the relationship between co-authorship and the currency of the references and author self-citations in the key journals of ...
http://codinginparadise.org/projects/hyperscope/release2 ...
codinginparadise.org
http://codinginparadise.org › demos › oad-2250
codinginparadise.org
http://codinginparadise.org › demos › oad-2250
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AUGMENT has long provided this basic capability, along with the provision ... provisions within AUGMENT that especially facilitate the authorship process.
An Attempt to Improve Authorship Verification via Data ...
arXiv
https://arxiv.org › html
arXiv
https://arxiv.org › html
17 Mar 2024 — Authorship Verification (AV) is a text classification task concerned with inferring whether a candidate text has been written by one specific ...
Augmented translation and authorship's role on this context
Bureau Works
https://www.bureauworks.com › blog › augmented-tran...
Bureau Works
https://www.bureauworks.com › blog › augmented-tran...
Semantic verification, improvement in quality, and redefinition of authorship are opportunities provided by augmentation.
An interdisciplinary Co-authorship networking perspective ...
ScienceDirect.com
https://www.sciencedirect.com › science › article › pii
ScienceDirect.com
https://www.sciencedirect.com › science › article › pii
by J Heller2023Cited by 27 — Drawing upon co-authorship theory, we identify prominent AR expert co-authorship networks that work on similar topics, yet also highlight that AR research is ...
An Attempt to Improve Authorship Verification via Data ...
ResearchGate
https://www.researchgate.net › publication › 38494841...
ResearchGate
https://www.researchgate.net › publication › 38494841...
6 Aug 2025 — Authorship Verification (AV) is a text classification task concerned with inferring whether a candidate text has been written by one specific ...
Enhancing Adversarial Authorship Verification with Data ...
CEUR-WS.org
https://ceur-ws.org › Vol-3448 › paper-11
CEUR-WS.org
https://ceur-ws.org › Vol-3448 › paper-11
PDF
by S Corbara2023Cited by 3 — This paper proposes to enhance authorship verification by augmenting training with synthetic text examples to tackle adversarial attacks.
6 pages
Visual representation of co-authorship with GPT-3
Educational Data Mining
https://educationaldatamining.org › proceedings › 2023....
Educational Data Mining
https://educationaldatamining.org › proceedings › 2023....
by A Shibani2023Cited by 28 — CoAuthorViz is a visualization tool using keystroke logs to represent co-authorship between writers and GPT-3, showing how writers interact with suggestions.