From ebdb9618c8e47d54a90057f6a7ed335b166d1736 Mon Sep 17 00:00:00 2001 From: Thea Sommerschield <25642267+sommerschield@users.noreply.github.com> Date: Mon, 26 Feb 2024 14:01:48 -0500 Subject: [PATCH 1/9] Update call-for-papers.md --- call-for-papers.md | 1 + 1 file changed, 1 insertion(+) diff --git a/call-for-papers.md b/call-for-papers.md index 8ff6de8..4ee69ba 100644 --- a/call-for-papers.md +++ b/call-for-papers.md @@ -1,5 +1,6 @@ The 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) is co-located at ACL 2024 and will take place in a hybrid format in Bangkok, Thailand and remotely, on 15 August 2024. The ML4AL workshop aims to inspire collaboration and support research momentum in the emerging field of Machine Learning for the study of ancient texts. Additional details can be found at https://www.ml4al.com. +Direct paper submission deadline: April 24, 2024 # The scope Ancient languages preserve the cultures and histories of the past. From 908d285808b75f6762b885395d08e52c5531db3e Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:34:39 +0200 Subject: [PATCH 2/9] Updated the deadlines --- call-for-papers.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/call-for-papers.md b/call-for-papers.md index 4ee69ba..11f93ae 100644 --- a/call-for-papers.md +++ b/call-for-papers.md @@ -40,9 +40,9 @@ Accepted regular workshop papers will be included in the workshop proceedings, b * Non-archival submissions: 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. # Important Dates (Tentative) -* Direct paper submission deadline: April 24, 2024 -* Notification of acceptance: May 29, 2024 -* Camera-ready paper due: June 5, 2024 -* Pre-recorded video due: June 12, 2024 +* Direct paper submission deadline: May 17, 2024 +* Notification of acceptance: June 17, 2024 +* Camera-ready paper due: July 1, 2024 +* Pre-recorded video due: TBD * Workshop: August 15, 2024 All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”) From 5733688bc02baa84b20cdf1d1819e06a77789016 Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:35:23 +0200 Subject: [PATCH 3/9] Update call-for-papers.md --- call-for-papers.md | 1 - 1 file changed, 1 deletion(-) diff --git a/call-for-papers.md b/call-for-papers.md index 11f93ae..c5d1280 100644 --- a/call-for-papers.md +++ b/call-for-papers.md @@ -1,6 +1,5 @@ The 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) is co-located at ACL 2024 and will take place in a hybrid format in Bangkok, Thailand and remotely, on 15 August 2024. The ML4AL workshop aims to inspire collaboration and support research momentum in the emerging field of Machine Learning for the study of ancient texts. Additional details can be found at https://www.ml4al.com. -Direct paper submission deadline: April 24, 2024 # The scope Ancient languages preserve the cultures and histories of the past. From 3b71234edceb2ef71b91666a697ab7ba81031d5f Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:37:50 +0200 Subject: [PATCH 4/9] Delete CfP.md --- CfP.md | 87 ---------------------------------------------------------- 1 file changed, 87 deletions(-) delete mode 100644 CfP.md diff --git a/CfP.md b/CfP.md deleted file mode 100644 index 0e0762f..0000000 --- a/CfP.md +++ /dev/null @@ -1,87 +0,0 @@ -# Call for Papers - First Workshop on Machine Learning for Ancient Languages (ML4AL) - -- Event Notification Type: Call for Papers -- Abbreviated Title: ML4AL 2024 -- Location: Co-located with ACL 2024 -- Country: Thailand -- Contact Email: organizers [at] ml4al.com -- City: Bangkok -- Contact: ML4AL 2024 Organizers -- Website: https://ml4al.com -- Submission Deadline: Monday, 24 April 2024 -- The 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) will be co-located with ACL 2024 and will be held in a hybrid format on August 15, 2024. - ------------------------- -Topic and Content ------------------------- -Ancient languages preserve the cultures and histories of the past. However, their study is fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from deciphering lost languages to restoring damaged inscriptions, to determining the authorship of works of literature. Technological aids have long supported the study of ancient texts, but in recent years advances in Artificial Intelligence (AI) and Machine Learning (ML) have enabled analyses on Ancient Languages on an unprecedented scale and in unparalleled detail. This shift is reminiscent of how scientific instruments such as microscopes and telescopes have contributed to the domain of Science. The ML4AL Workshop aims to inspire and support research momentum in the emerging field of ML for the study of ancient texts. - ------------------------- -The scope ------------------------- -The written evidence of the Ancient World is multifaceted and expansive. 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 (the conventional "end of ancient history"). Encompassing such a vast and fertile remit for ML applications, ML4AL is designed to facilitate and invigorate the ongoing collaborative momentum between ML and the Humanities, to foster a deeper understanding of our past. Indeed, ancient languages fall under the category of low-resource languages due to the scarcity of available linguistic data for modern analysis. These languages, therefore, offer a compelling case study for ML: their limited textual material, socio-cultural intricacies, evolving forms, and diverse transmission histories pose a significant challenge to conventional models. - ------------------------- -The objectives ------------------------- -ML4AL is tailored to tackle four substantial targets: -* By showcasing the scientific opportunities at the intersection of the Humanities and ML, it offers a roadmap for this burgeoning interdisciplinary field. -* It emphasises the value and urgency of active collaboration between the specialists from both fields, to produce compelling and consequential research. -* It generates awareness among the scientific community of the risk posed by data-bias and digital colonialism, and emphasises the importance of standardised datasets, metrics and benchmarks. -* Finally, it aims to spotlight promising directions for future endeavours within this field. - ------------------------------- -Important Dates ------------------------------- -- Direct paper submission deadline: April 24, 2024 -- Notification of acceptance: May 29, 2024 -- Camera-ready paper due: June 5, 2024 -- Pre-recorded video due: June 12, 2024 -- Workshop: August 15, 2024 -All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”) - ------------------------- -Topics of interest ------------------------- -* Digitization: bringing textual sources to a high-quality machine-readable format. -* Restoration: recovering missing text and reassembling fragmented written artifacts. -* 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: which aim to make a text's language comprehensible and interpretable to modern-day researchers. - ------------------------------- -Submissions ------------------------------- -We particularly encourage submissions which tackle low-data, underrepresented, non-Western ancient languages. -We will use OpenReview and we welcome ARR submissions. - ------------------------------- -Diversity and Inclusion Statement ------------------------------- -We welcome submissions from researchers and practitioners from diverse backgrounds, and seek contributions from individuals working in the field of Machine Learning for ancient languages, irrespective of their gender, ethnicity, nationality, or academic affiliations. - ------------------------------- -Invited Speakers ------------------------------- -* Barbara McGillivray (King's College, UK) -* Kyunghyun Cho (NYU, USA) - ------------------------------- -Contact ------------------------------- -Email: organizers [at] ml4al.com -Website: https://www.ml4al.com - ------------------------------- -Organizers: ------------------------------- -* John Pavlopoulos (Athens University of Economics and Business) -* Thea Sommerschield (University of Nottingham) -* Yannis Assael (Google DeepMind) -* Shai Gordin (Ariel University) -* Marco Passarotti (Università Cattolica del Sacro Cuore of Milan) -* Rachele Sprugnoli (University of Parma) -* Yudong Liu (Western Washington Universit) -* Bin Li ( Nanjing Normal University) -* Adam Anderson (UC Berkeley) From 6a746642705d6dc047e1042f249c23e884d6494a Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:38:08 +0200 Subject: [PATCH 5/9] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 74dd349..b3cf83f 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,2 @@ -# ml4al -Machine Learning for Ancient Languages (ML4AL) ACL Workshop +# ML4AL +The Machine Learning for Ancient Languages (ML4AL) ACL Workshop From f0b727b04402c1372cd33d6c184b7249c9518648 Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:38:42 +0200 Subject: [PATCH 6/9] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b3cf83f..36868ca 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,2 @@ # ML4AL -The Machine Learning for Ancient Languages (ML4AL) ACL Workshop +The 1st Machine Learning for Ancient Languages (ML4AL) ACL Workshop From cc7b3b31e00f8a14ec2db39de19547e159ad1074 Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:39:25 +0200 Subject: [PATCH 7/9] Add files via upload --- CfP.pdf | Bin 0 -> 75653 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 CfP.pdf diff --git a/CfP.pdf b/CfP.pdf new file mode 100644 index 0000000000000000000000000000000000000000..c00fcf6d53e6db00a426efe4285344c04353acd6 GIT binary patch literal 75653 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Additional details can be found at https://www.ml4al.com. - -# The scope -Ancient languages preserve the cultures and histories of the past. -However, their study is fraught with difficulties, and experts must tackle a range of challenging text-based tasks, -from deciphering lost languages to restoring damaged inscriptions, to determining the authorship of works of literature. -Technological aids have long supported the study of ancient texts, but in recent years advances in Artificial Intelligence (AI) -and Machine Learning (ML) have enabled analyses on Ancient Languages on an unprecedented scale and in unparalleled detail. -This shift is reminiscent of how scientific instruments such as microscopes and telescopes have contributed to the domain of Science. -The ML4AL Workshop aims to inspire and support research momentum in the emerging field of ML for the study of ancient texts. - -The written evidence of the Ancient World is multifaceted and expansive. -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 (the conventional "end of ancient history"). -Encompassing such a vast and fertile remit for ML applications, ML4AL is designed to facilitate and invigorate the ongoing collaborative momentum between ML and the Humanities, to foster a deeper understanding of our past. -Indeed, ancient languages fall under the category of low-resource languages due to the scarcity of available linguistic data for modern analysis. -These languages, therefore, offer a compelling case study for ML: their limited textual material, socio-cultural intricacies, evolving forms, and diverse transmission histories pose a significant challenge to conventional models. - -# Submissions -We welcome long (8 page) and short (4 page) paper submissions on topics related to: -* Digitization: bringing textual sources to a high-quality machine-readable format (e.g., through HTR). -* Restoration: recovering missing text and reassembling fragmented written artifacts. -* 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: which aim to make a text's language comprehensible and interpretable to modern-day researchers. - -We particularly welcome submissions which tackle low-data, underrepresented, non-Western ancient languages. - -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-Westerncentric ancient languages. - -## Instructions -We welcome long (8 page) and short (4 page) paper submissions, in PDF format, made through OpenReview or ARR. -Accepted regular workshop papers will be included in the workshop proceedings, but non-archival submissions are also welcome. - -* Regular workshop papers: Both long (8 pages) and short (4 pages) papers may have unlimited pages for references and up to 100 MB of supplementary materials (separately). Authors are strongly encouraged to submit their code for reproducibility. In the camera-ready version, one additional page of content will be given to address the comments received by the reviewers. All submissions should be completely anonymous to allow a double-blind review process and the papers should follow the [ACL template style](https://github.com/acl-org/acl-style-files). Each paper is expected to be reviewed by at least three reviewers. Selected accepted papers will be presented orally and the rest as posters. - -* Non-archival submissions: 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. - -# Important Dates (Tentative) -* Direct paper submission deadline: May 17, 2024 -* Notification of acceptance: June 17, 2024 -* Camera-ready paper due: July 1, 2024 -* Pre-recorded video due: TBD -* Workshop: August 15, 2024 -All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”) +# 1st Call for Papers + +The 1st Workshop on Machine Learning for Ancient Languages ([ML4AL +2024](http://ml4al.com)) + +Bangkok, Thailand + +Thursday, August 15 2024 (co-located with ACL 2024) + +Submission deadline: May 17th, 2024 11:59pm, UTC-12 (anywhere on Earth) + +--- + +**DESCRIPTION** + +Ancient languages preserve the cultures and histories of the past. +However, their study is fraught with difficulties, and experts must +tackle a range of challenging text-based tasks, + +from deciphering lost languages to restoring damaged inscriptions, to +determining the authorship of works of literature. Technological aids +have long supported the study of ancient texts, but in recent years +advances in Artificial Intelligence (AI) and Machine Learning (ML) have +enabled analyses on Ancient Languages on an unprecedented scale and in +unparalleled detail. The ML4AL Workshop aims to inspire and support +research momentum in the emerging field of ML for the study of ancient +texts. + +The written evidence of the Ancient World is multifaceted and expansive. +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. Encompassing such a +vast and fertile remit for ML applications, the ML4AL Workshop is +designed to facilitate and invigorate the ongoing collaborative momentum +between ML and the Humanities, to foster a deeper understanding of our +past. Indeed, ancient languages fall under the category of low-resource +languages due to the scarcity of available linguistic data for modern +analysis. These languages, therefore, offer a compelling case study for +ML: their limited textual material, socio-cultural intricacies, evolving +forms, and diverse transmission histories pose a significant challenge +to conventional models. + +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. + +- 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: which aim to make a text\'s language + comprehensible and interpretable to modern-day researchers. + +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, +submitted directly through [OpenReview](https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/ML4AL) or via ARR. +Accepted regular workshop papers +will be included in the workshop proceedings, but non-archival +submissions are also welcome: + +**Regular workshop papers**: Both long (8 pages) and short (4 pages) +papers may have unlimited pages for references and up to 100 MB of +supplementary materials (separately). Authors are strongly encouraged to +submit their code for reproducibility. In the camera-ready version, one +additional page of content will be given to address the comments +received by the reviewers. All submissions should be completely +anonymous to allow a double-blind review process and the papers should +follow the [ACL template +style](https://github.com/acl-org/acl-style-files). Each +paper is expected to be reviewed by at least three reviewers. Selected +accepted papers will be presented orally and the rest as posters. + +**Non-archival submissions**: 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 as regular submissions. Papers being submitted both to ML4AL +and another venue must note on the title page the other conference/workshop +and state on the title page that if the authors choose to present their paper +at ML4AL (upon acceptance), then the paper will be withdrawn from other +conferences and workshops. All submitted manuscripts should be fully +anonymous (please avoid self-references) and must include a dedicated +\"Limitations\" section, which will not count toward the page limit. +Supplementary material (e.g., code, data, audio/visual material, etc.) +is suggested to be uploaded on a repository, anonymously, and linked to +the paper. + +--- + +**ORGANIZING COMMITTEE** + +[Dr John Pavlopoulos](https://ipavlopoulos.github.io), +Athens University of Economics and Business, Greece + +[Dr Thea Sommerschield](https://theasommerschield.it/), +University of Nottingham, UK + +[Dr Yannis Assael](https://www.assael.gr/), Google +DeepMind, UK + +[Dr Shai Gordin](https://digitalpasts.github.io/), Ariel +University, Israel + +[Prof. Kyunghyun Cho](https://kyunghyuncho.me/), NYU, +CIFAR, Genentech, USA + +[Prof. Marco +Passarotti](https://docenti.unicatt.it/ppd2/en/docenti/14144/marco-carlo-passarotti/profilo), +Università Cattolica del Sacro Cuore, Italy + +[Dr Rachele +Sprugnoli](https://personale.unipr.it/en/ugovdocenti/person/236480), +Università di Parma, Italy + +[Dr Yudong Liu](https://liuy2.github.io/), Western +Washington University, USA + +[Dr Bin Li](https://cognitivebase.com/lib/), Nanjing +Normal University, China + +[Dr Adam +Anderson](https://dlab.berkeley.edu/people/adam-anderson), +UC Berkeley, USA + +Contact the organizers at: +[ml4al.organizers@gmail.com](mailto:ml4al.organizers@gmail.com) + +--- + +**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") + +--- + +**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 Heřmánková; +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 + +--- From defc0b9be45a0c24c2448e3a88755eef29f2afca Mon Sep 17 00:00:00 2001 From: Ioannis Pavlopoulos Date: Fri, 1 Mar 2024 17:58:12 +0200 Subject: [PATCH 9/9] Update call-for-papers.md Removed the last line --- call-for-papers.md | 1 - 1 file changed, 1 deletion(-) diff --git a/call-for-papers.md b/call-for-papers.md index 4738779..8d2507f 100644 --- a/call-for-papers.md +++ b/call-for-papers.md @@ -181,4 +181,3 @@ Richard Sproat; Gabriel Stanovsky; Vanessa Stefanak; Silvia Stopponi; Qi Su; Matthew I. Swindall; Xuri Tang; Charlotte Tupman; Dongbo Wang; Haneul Yoo; Chongsheng Zhang ----