Humanist Discussion Group, Vol. 34, No. 341.
Department of Digital Humanities, University of Cologne
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Submit to: humanist@dhhumanist.org
[1] From: Elena Spadini <spadinielena@GMAIL.COM>
Subject: RIDE Tools - Call for reviews (156)
[2] From: Nils Reiter <nils.reiter@uni-koeln.de>
Subject: Shared Task on Scene Segmentation in German Narratives (38)
--[1]------------------------------------------------------------------------
Date: 2021-04-23 07:23:44+00:00
From: Elena Spadini <spadinielena@GMAIL.COM>
Subject: RIDE Tools - Call for reviews
Dear textual scholars,
The Institute for Documentology and Scholarly Editing (IDE) is calling
for reviews for a special issue of the journal RIDE
(https://ride.i-d-e.de/), dedicated to Tools and Environments for
Digital Scholarly Editing (DSE).
The first issue (https://ride.i-d-e.de/issues/issue-11/) of RIDE
dedicated to Tools and Environments was published in January 2020.
Reviews for the second issue will be accepted until the 30^st of
September 2021.
To guide reviewers through the review process and to create a structure
for the evaluation, we provide Criteria for Reviewing Digital Tools and
Environments for DSE that are supposed to be applicable to various
types of resources. The guidelines (Version 1.0) can be found here
(https://www.i-d-e.de/publikationen/weitereschriften/criteria-tools-version-1/.
We kindly ask you to email us before start reviewing a tool at
ride-tools (at) i-d-e.de with a suggestion of which resource you would
like to review and with a short explanation of your affiliation and area
of expertise. This is important in order to avoid multiple reviews of the
same tool.
Background
In the introduction to his book /Software takes command /(Bloomsbury
Publishing, 2013) Lev Manovich states that “software has become our
interface to the world, to others, to our memory and our imagination”.
Is the same happening in the world of digital scholarly editing?
Certainly we cannot ignore their fundamental role in our daily scholarly
practices and in the interactions with our objects of study. Insofar as
tools shape scholarly editions, they also shape scholarly editing.
A new RIDE issue is devoted to tools for digital scholarly editing. The
aim of this issue is to:
* contribute to the discussion about tooling in Digital Humanities,
* bring to the forefront the instruments instead of the final products,
* provide a venue for discussing best practices in the development and
usage of tools,
* list useful resources for all those involved in scholarly editing.
Beyond that, we hope that the critical examination of digital tools
draws greater attention to the (scholarly) achievements that their
creation and maintenance imply.
The journal /RIDE/ was founded in 2014 to “provide a forum in which
expert peers criticise and discuss the efforts of digital editors in
order to improve current practices and advance future developments”
(RIDE Editorial). RIDE is Open Access, reviews are published as HTML and
downloadable as TEI. All reviews will be peer reviewed in order to reach
a high quality level of the evaluations. The special issue on Digital
Tools and Environments for DSE will be edited by Anna-Maria Sichani
(University of Sussex) and Elena Spadini (University of Lausanne).
Submission details
Reviews are accepted in English, French, Italian, and Spanish. The
length of the review can vary depending on how much the resource offers
that is worthy of discussion (approximately 2000-5000 words).
Please submit your review at *ride-tools (at) i-d-e.de
as an editable text file (preferably, but not necessarily docx to
facilitate the conversion to TEI). Please send illustrations as
separate image files (jpg or png) and leave a note in the text as a
placeholder for each image. In addition to the text, we
collect keywords. Each review should be accompanied by a short abstract
in English, independently of the language used in the main text.
For further information please check the general RIDE guidelines for
writing and submitting
(http://ride.i-d-e.de/reviewers/writing-and-submitting/). The
questionnaire mentioned in the submission checklist has been designed
for scholarly digital editions so far. We will keep you informed about
how to proceed with the questionnaire for this special issue.
All reviews will be peer reviewed in order to reach a high quality level
of the evaluations. We believe that this is important because the
evaluation of digital scholarly resources usually requires a double
expertise in digital methods as well as in individual disciplines. This
is also to increase the credit for reviews.
Suggestions for review*=
The following list is merely alphabetically and not comprehensive:
* Annotation Studio (http://www.annotationstudio.org/
(http://www.annotationstudio.org/))
* Apache OpenNLP (https://opennlp.apache.org/
(https://opennlp.apache.org/))
* CATview (http://catview.uzi.uni-halle.de/
(http://catview.uzi.uni-halle.de/))
* Classical Text Editor (http://cte.oeaw.ac.at/ (http://cte.oeaw.ac.at/))
* CorrespSearch (https://correspsearch.net/ (https://correspsearch.net/))
* CWRC-Writer (https://github.com/cwrc/CWRC-WriterBase
(https://github.com/cwrc/CWRC-WriterBase))
* ecdosis (http://ecdosis.rocks (http://ecdosis.rocks/))
* eLaborate (http://elaborate.huygens.knaw.nl/
(http://elaborate.huygens.knaw.nl/))
* EVT (http://evt.labcd.unipi.it/ (http://evt.labcd.unipi.it/))
* FreeLing 4.0 (http://nlp.lsi.upc.edu/freeling/
(http://nlp.lsi.upc.edu/freeling/))
* FromThePage (https://fromthepage.com/ (https://fromthepage.com/))
* FuD (https://fud.uni-trier.de/ (https://fud.uni-trier.de/))
* Image Markup Tool (https://tapor.uvic.ca/~mholmes/image_markup/
(https://tapor.uvic.ca/~mholmes/image_markup/))
* Isilex (https://isilex.github.io/easy-xml/
(https://isilex.github.io/easy-xml/))
* Kiln (http://kcl-ddh.github.io/kiln/ (http://kcl-ddh.github.io/kiln/))
* LombardPress (http://lombardpress.org/ (http://lombardpress.org/))
* ManuscriptDesk (https://manuscriptdesk.uantwerpen.be/md/Main_Page
(https://manuscriptdesk.uantwerpen.be/md/Main_Page))
* MOM-CA (https://github.com/icaruseu/mom-ca/wiki
(https://github.com/icaruseu/mom-ca/wiki))
* New Testament Virtual Manuscript Room (NTVMR)
(http://ntvmr.uni-muenster.de/de/manuscript-workspace
(http://ntvmr.uni-muenster.de/de/manuscript-workspace))
* oXygen (http://oxygenxml.com/ (http://oxygenxml.com/))
* PhiloEditor (http://site1705.web.cs.unibo.it/phed/
(http://site1705.web.cs.unibo.it/phed/))
* Scripto (http://scripto.org/ (http://scripto.org/))
* Stanford NLP (https://nlp.stanford.edu/software/
(https://nlp.stanford.edu/software/))
* Stylo (https://stylo.ecrituresnumeriques.ca/
(https://stylo.ecrituresnumeriques.ca/))
* T-Pen (http://www.t-pen.org/TPEN/ (http://www.t-pen.org/TPEN/))
* TEI Critical Apparatus Toolbox (http://teicat.huma-num.fr/
(http://teicat.huma-num.fr/))
* TextGrid (https://textgrid.de/en/ (https://textgrid.de/en/))
* Pundit (http://thepund.it/ (http://thepund.it/))
* Transcribo (http://transcribo.org/en/ (http://transcribo.org/en/))
* Transkribus (https://transkribus.eu/Transkribus/
(https://transkribus.eu/Transkribus/))
* Versioning Machine (http://v-machine.org/ (http://v-machine.org/))
* WMRCRE (http://vmrcre.org/ (http://vmrcre.org/))
* Zooniverse (https://www.zooniverse.org/ (https://www.zooniverse.org/))
More Digital Tools and Environments can be found on dedicated lists and
in catalogs, for example:
* TEI-Wiki Editing Tools
(https://wiki.tei-c.org/index.php/Category:Editing_tools
(https://wiki.tei-c.org/index.php/Category:Editing_tools)) ( last
modified on 2015-02-20)
* DIRT (http://dirtdirectory.org (http://dirtdirectory.org/)) (last
update 2015-04-24)
* TAPOR 3.0 (http://tapor.ca/home (http://tapor.ca/home))
--
Elena Spadini
Postdoc, Université de Lausanne
elespdn.github.io/io/ (http://elespdn.github.io/io/)
--[2]------------------------------------------------------------------------
Date: 2021-04-22 17:14:00+00:00
From: Nils Reiter <nils.reiter@uni-koeln.de>
Subject: Shared Task on Scene Segmentation in German Narratives
1st Shared Task on Scene Segmentation in German Narratives
We invite contributions to the 1st Shared Task on automatic Scene Segmentation
(STSS) for German narrative texts. Scenes are time-, location- and plot-wise
coherent units of a story, and can predominantly be found in narrative texts
like novels or biographies. Scene segmentation is needed for a high-level
content analysis of longer texts, but also for many subsequent tasks for NLP
applied in longer narrative texts, since even modern methods struggle with
processing text longer than a couple of sentences or paragraphs.
All the details can be found here: http://go.uniwue.de/stss2021.
The shared task is co-located with KONVENS 2021: https://konvens2021.phil.hhu.de
## Important Dates
June 7, 2021: Registration Deadline
June 30, 2021: Start of final evaluation
July 7, 2021: End of final evaluation
July 15, 2021: Paper submission due
August 10, 2021: Camera ready due
September 6-9, 2021: KONVENS conference
## Contact
stss2021@informatik.uni-wuerzburg.de
## Organizers
Albin Zehe, University of Würzburg
Leonard Konle, University of Würzburg
Lea Dümpelmann, University of Heidelberg
Evelyn Gius, Technical University of Darmstadt
Svenja Guhr, Technical University of Darmstadt
Andreas Hotho, University of Würzburg
Fotis Jannidis, University of Würzburg
Lucas Kaufmann, University of Würzburg
Markus Krug, University of Würzburg
Frank Puppe, University of Würzburg
Nils Reiter, University of Cologne
Annekea Schreiber, TU Darmstadt
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