Annotation

Annotation (The MIT Press Essential Knowledge series)  eBooks & eLearning

Posted by yoyoloit at Aug. 19, 2021
Annotation (The MIT Press Essential Knowledge series)

Annotation
by Remi H. Kalir;Antero Garcia;

English | 2021 | ISBN: 0262539926 | 234 pages | True PDF | 8.67 MB

Hands-On Data Annotation: Applied Machine Learning  eBooks & eLearning

Posted by lucky_aut at Dec. 22, 2023
Hands-On Data Annotation: Applied Machine Learning

Hands-On Data Annotation: Applied Machine Learning
Released: 12/22/2023
Duration: 3h 51m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 534 MB
Genre: eLearning | Language: Deutsch

Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation  eBooks & eLearning

Posted by lucky_aut at Dec. 13, 2023
Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation

Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation
Released: 12/12/2023
Duration: 1h 2m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 219 MB
Genre: eLearning | Language: English

Easy Screen Capture And Annotation 3.0  Software

Posted by melt_ at Sept. 18, 2020
Easy Screen Capture And Annotation 3.0

Easy Screen Capture And Annotation 3.0 | 2.8 Mb

Easy Screen Capture and Annotation will capture and annotate any part of the screen. The main goal of the product is to speed up the capture and editing process saving you valuable time by automating repetitive tasks. Selecting a region directly on the screen or pointing only a menu, window or control at the moment of capture is just one of those features that will accelerate your workflow. Easily create explicit and stylish captures by editing the captured images and also adding descriptions using text balloons (callouts), arrows and other objects.
Digital Library Technologies: Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security

Digital Library Technologies: Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security by Edward A. Fox
English | PDF(True) | 2014 | 207 Pages | ISBN : 1627050302 | 4.06 MB

Digital libraries (DLs) have introduced new technologies, as well as leveraging, enhancing, and integrating related technologies, since the early 1990s. These efforts have been enriched through a formal approach, e.g., the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework, which is discussed in two earlier volumes in this series. This volume should help advance work not only in DLs, but also in the WWW and other information systems.

Handbook of Linguistic Annotation [Repost]  eBooks & eLearning

Posted by hill0 at July 12, 2017
Handbook of Linguistic Annotation [Repost]

Handbook of Linguistic Annotation by Nancy Ide
English | 29 Jun. 2017 | ISBN: 9402408797 | 1459 Pages | PDF | 37.93 MB

This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.
Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects (repost)

Karën Fort, "Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects"
2016 | ISBN-10: 1848219040 | 192 pages | PDF | 3 MB

Natural Language Annotation for Machine Learning  eBooks & eLearning

Posted by insetes at April 15, 2019
Natural Language Annotation for Machine Learning

Natural Language Annotation for Machine Learning By James Pustejovsky, Amber Stubbs
2012 | 344 Pages | ISBN: 1449306667 | EPUB | 5 MB

Handbook of Linguistic Annotation  eBooks & eLearning

Posted by hill0 at June 17, 2017
Handbook of Linguistic Annotation

Handbook of Linguistic Annotation by Nancy Ide
English | 3 July 2017 | ISBN: 9402408797 | 1459 Pages | PDF | 37.93 MB

This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.
Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI

Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI
by Robert Monarch

English | 2021 | ISBN: ‎ 1617296740 | 423 pages | True EPUB, MOBI | 23.24 MB