Skip to Content
Collaborative Annotation for Reliable Natural Language Processing
book

Collaborative Annotation for Reliable Natural Language Processing

by Karën Fort
June 2016
Intermediate to advanced
192 pages
3h 55m
English
Wiley-ISTE
Content preview from Collaborative Annotation for Reliable Natural Language Processing

Appendix(Some) Annotation Tools

Keeping track of all the annotation tools is a job for Sisyphus. The list presented here is, therefore, far from exhaustive. It also contains deprecated tools or tools that were used only once, because they present interesting features that we want to expose. Finally, we have done our best to keep this list up-to-date, but some tools evolve so rapidly that it is difficult to keep track of changes; so if one of them seems interesting to you, do not hesitate to check its evolution on the provided website.1

We chose not to use the traditional comparative tabular presentation, as it does not allow for the representation of the different underlying principles behind each tool. We prefer to detail each of them in its context of creation and usage.

The organization of the inventory that we propose here relies on a typology that we deduced from our tests.2 Thus, section A.1 presents generic tools, some of which were born so whereas others evolved toward from a specific annotation task. The following section logically introduces task-oriented tools. The annotation platforms, which aim more directly at applying NLP tools on corpora, are presented in section A.3. Finally, section A.4 details annotation campaign management tools. Within each section, the tools are presented in historical order, from the oldest to the newest.

A.1. Generic tools

The majority of the tools presented here were not initially designed to be generic, but were created for a specific ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow

Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow

Aurélien Géron
What Successful Project Managers Do

What Successful Project Managers Do

W. Scott Cameron, Jeffrey S. Russell, Edward J. Hoffman, Alexander Laufer

Publisher Resources

ISBN: 9781848219045Purchase book