Humanist Discussion Group, Vol. 37, No. 454.
Department of Digital Humanities, University of Cologne
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Date: 2024-02-19 14:48:58+00:00
From: Marinella Testori <testorimarinella@gmail.com>
Subject: Computational-humanities Digest, Vol 7, Issue 3
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Today's Topics:
1. CfP: Workshop on Machine Learning for Ancient Languages
(ML4AL) @ACL 2024 (Thea Sommerschield)
----------------------------------------------------------------------
Message: 1
Date: Sat, 17 Feb 2024 18:24:37 +0100
From: Thea Sommerschield <thea.sommerschield@nottingham.ac.uk>
To: computational-humanities@kcl.ac.uk
Subject: [kcl-computational-humanities] CfP: Workshop on Machine
Learning for Ancient Languages (ML4AL) @ACL 2024
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Dear List Members,
On behalf of the Organising Committee, it is my pleasure to circulate the
1st Call for Papers for the Workshop on Machine Learning for Ancient
Languages (ML4AL 2024).
The Workshop is co-located at ACL 2024 and will take place in a hybrid
format in Bangkok, Thailand and remotely, on 15 August 2024.
The submission deadline is May 17th, 2024 11:59pm, UTC-12 (anywhere on
Earth).
Please refer to the ML4AL workshop website http://ml4al.com/ for the full
CfP and for more information.
DESCRIPTION
The ML4AL Workshop aims to inspire collaboration and support research
momentum in the emerging field of Machine Learning for the study of ancient
texts. We invite contributions tackling texts from the diverse corners of
the globe, in any language, script or medium. We establish a chronological
scope from the inception of writing systems in ancient Mesopotamia and
Egypt (3400 BCE) to the late first millennium CE.
We welcome contributions on topics related to, but not limited to:
- Digitization: bringing textual sources to a high-quality machine-readable
format (e.g., through HTR).
- Restoration: recovering missing text and reassembling fragmented written
artefacts (inscriptions, papyri, potsherds etc.).
- Attribution: contextualising a document within its original geographical,
chronological and authorial setting.
- Linguistic analysis: involving tasks such as POS tagging, text parsing,
segmentation, representation learning, semantics, sentiment, language
identification.
- Textual criticism: the process of reconstructing a text's philological
tradition of textual transmission, including the tasks of stemmatology and
intertextuality.
- Translation and decipherment.
Encompassing such a vast and fertile remit for assistive Machine
Learning applications to the study of ancient texts, the ML4AL Workshop is
designed to facilitate and invigorate the ongoing collaborative impetus
between AI and the Humanities.
ACL (https://2024.aclweb.org/) is the most prominent conference on Machine
Learning and NLP in the world, and this is the first time a workshop on the
topic of Machine Learning for Ancient Languages is included at an ACL
meeting.
We particularly welcome submissions which tackle low-data,
underrepresented, non-Western ancient languages, and we encourage
researchers and practitioners from diverse backgrounds, working on ancient
languages, irrespective of their gender, ethnicity, nationality, or
academic affiliations, including fellows tackling low-underrepresented and
non-Western centric ancient languages.
SUBMISSION INFORMATION
We welcome long (8 page) and short (4 page) paper submissions, in PDF
format following the ACL template style, made through OpenReview or ARR.
Accepted regular workshop papers will be included in the workshop
proceedings, but non-archival submissions are also welcome.
All submissions should be completely anonymous to allow a double-blind
review process (each paper is expected to be reviewed by at least three
reviewers). Selected accepted papers will be presented orally and the rest
as posters. Papers on relevant topics that have appeared or might appear in
other venues (workshops, conferences, journals) are also welcome, which can
be presented at the workshop but will not be included in the workshop
proceedings. Already published contributions (excluding preprints) cannot
be accepted.
ORGANISING COMMITTEE
Dr John Pavlopoulos, Athens University of Economics and Business, Greece
Dr Thea Sommerschield, University of Nottingham, UK
Dr Yannis Assael, Google DeepMind, UK
Dr Shai Gordin, Ariel University, Israel
Prof. Kyunghyun Cho, NYU, CIFAR, Genentech, USA
Prof. Marco Passarotti, Universit? Cattolica del Sacro Cuore, Italy
Dr Rachele Sprugnoli, Universit? di Parma, Italy
Dr Yudong Liu, Western Washington University, USA
Dr Bin Li, Nanjing Normal University, China
Dr Adam Anderson, UC Berkeley, USA
Contact the organisers at: ml4al.organizers@gmail.com
PROGRAM COMMITTEE
Masayuki Asahara; John Bodel; Gregory Crane; Katrien De Graef; Sanhong
Deng; Mark Depauw; Hanne Eckhoff; Margherita Fantoli; Minxuan Feng; Ethan
Fetaya; Federica Gamba; Laura Hawkins; Chul Heo; Petra He?m?nkov?; Marietta
Horster; Renfen Hu; Kyle Johnson; Alek Keersmaekers; Ussen Kimanuka; Thomas
Koentges; Els Lefever; Chaya Liebeskind; Eliese-Sophia Lincke; Chao-Lin
Liu; Liu Liu; Congjun Long; Jiaming Luo; Massimo Maiocchi; Isabelle
Marthot-Santaniello; Barbara McGillivray; M. Willis Monroe; Alex Mullen;
Chiara Palladino; Chanjun Park, Upstage; Edoardo M. Ponti; Mladen Popovic;
Jonathan Prag; Avital Romach; Edgar Roman-Rangel; Matteo Romanello; Brent
Seales; Andrew Senior; Si Shen; Barak Sober; Richard Sproat; Gabriel
Stanovsky; Vanessa Stefanak; Silvia Stopponi; Qi Su; Matthew I. Swindall;
Xuri Tang; Charlotte Tupman; Dongbo Wang; Haneul Yoo; Chongsheng Zhang.
IMPORTANT DATES
- Paper submission deadline: May 17, 2024
- Notification of acceptance: June 17, 2024
- Camera-ready paper due: July 1, 2024
- Workshop: August 15, 2024
All deadlines are 11:59 pm UTC -12h (?anywhere on Earth?).
Thank you very much, and apologies for cross-posting!
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