CALL FOR APPLICATIONS

Distant Reading Training School:
Exploring ELTeC: Use-Cases for Information Extraction and Analysis
within the COST Action 16204: Distant Reading for European Literary History

About the Training School

We invite you to the final Training School of the Distant Reading for European Literary History COST Action (CA16204), under the overarching topic of “Exploring ELTeC: Use-Cases for Information Extraction and Analysis”. This workshop consists of nine modules, including three lectures open to the online public, and takes a hybrid form, in which the participants can choose whether they prefer to participate in the training school in person or remotely. This is a single-track training school, therefore the participants are expected to participate in all, or at least most, sessions.


The Training School will present and teach hands-on approaches to information extraction and analysis of textual data, specifically ELTeC corpora developed within the Action. The workshops will cover various aspects of work with Named Entities and Geo-Entities, both in terms of their recognition and extraction, and their analysis, work with Wiki-ELteC data, linking (historical) data with Nodegoat, semantic analysis with word embeddings and language models, and comparing corpora with stylometry.
While there are no formal entry knowledge requirements, given the topics and intensity of the workshop, we advise participation with at least very basic computer skills (ability to install programs, run simple scripts).

Key information
• Date: 22-24 March 2022
• Place: Hybrid (online and in person)
• Trainers:
Christof Schöch (Trier University);
Maciej Eder, Joanna Byszuk and Artjoms Šeļa (Institute of Polish Language, Polish Academy of Sciences); Diana Santos (University of Oslo); Benedikt Perak (University of Rijeka); Fotis Jannidis (Würzburg University); Denis Maurel, (Université de Tours, Lifat, Computer Science Research Laboratory); Eric Laporte, Tita Kyriacopoulou; (Université Gustave Eiffel, LIGM); Jessie Labov (Central European University); Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (University of Belgrade),

• Host institution: Belgrade Serbia, University of Belgrade, Faculty of Mining and Geology
• Organizers: Local organizers Ranka Stanković (ranka.stankovic@rgf.bg.ac.rs) and Cvetana Krstev (cvetana@matf.bg.ac.rs); Joanna Byszuk, Working Group 2 Leader (joanna.byszuk@ijp.pan.pl)
• Contact persons: Roxana Patras (roxanapatras82@gmail.com), Training School Coordinator, Christof Schöch, Action Chair (schoech@uni-trier.de), Ranka Stanković (ranka.stankovic@rgf.bg.ac.rs), Joanna Byszuk, Working Group 2 Leader (joanna.byszuk@ijp.pan.pl), Diana Santos (d.s.m.santos@ilos.uio.no)
• There is no fee for participation
More on Distant Reading action
https://www.distant-reading.net/

Target Audience
The target audience is formed of researchers, especially early-career investigators (ECI), from participating countries interested in Distant Reading, Digital Literary Studies, Corpus and Computational Linguistics and/or Literary Theory and their methodological uses across national traditions. Early Career Investigators (ECI) from Inclusiveness Target Countries (ITC) (http://www.cost.eu/about_cost/strategy/excellence-inclusiveness) are strongly encouraged to apply!
The lecture parts of the Training School will be made broadly available in online form.


How to apply

We decided to offer call prolongation for online participants – if you want to participate in the TS remotely, you can apply until 11th March and will be notified by 15th of your acceptance. The application procedure is the same as in the original dates – you can find the information below.


To apply for participation in the TRAINING SCHOOL “Exploring ELTeC: Use-Cases for Information Extraction and Analysis”, please do the following things:
Create an account on e-COST at https://e-services.cost.eu/user/registration/email
Send the following documents as one PDF document (filename = your last name) to Roxana Patras (roxanapatras82@gmail.com) and Christof Schöch (schoech@uni-trier.de) until 25th February 2022:

  • a one-page Curriculum Vitae
  • a one-page motivation letter, including:
    • a clear statement of intent and your reasons to participate in a TITLE workshop;
    • information about your current level of knowledge / experience in using workshop-related digital tools;
    • what your expectations are (trainers & teaching materials);
    • a specification if you want to participate online or in person (with filling in the budget in the e-COST system).


After submission, all applicants are kindly asked to make sure they have received a confirmation of receipt within 24 hours. If this is not the case, please don’t hesitate to contact us again.
Selection criteria
Applicants will be notified of their acceptance until 4th March 2022.
Basic COST eligibility criteria need to be met.
Applicants with research interests relevant to the COST Action’s goals and activities are prioritized (Rank 1).
Applicants who are early career researchers (including doctoral researchers) and applicants from COST Inclusiveness Target Countries (ITC) are prioritized over other applicants (Rank 2).
Insofar as is allowable by the applications received and the selection criteria above, representation across as many COST countries as possible and a gender balance should be observed among the grantees (Rank 3).
Where all the above criteria are satisfied, places are offered on a first-come-first-served basis (Rank 4)

RANGE OF TOPICS

  1. Christof Schöch: introductory lecture about the project and about ELTeC (probably online). This lecture is an introduction to the objectives of the COST Action ‘Distant Reading for European Literary History’, with a particular focus on the structure of the core deliverable of the project, the multilingual European Literary Text Collection (ELTeC).
  2. Maciej Eder, Joanna Byszuk, Artjoms Šeļa: Exploring and comparing ELTeC corpora with stylometry (online)
  3. Diana Santos, NER exploitation and analysis (online)
  4. Benedikt Perak: ELTeC Data Analysis, Representation of the Geo-Entities and Interlinking with Knowledge bases. (on site)
  5. Fotis Jannidis, Leo Konle: Semantic analysis using word embeddings and language models. (online)
  6. Ranka Stanković, Milica Ikonić Nešić: Wiki-ELTeC data session. Wikidata introduction; Wiki-ELTeC schema (all metadata from header plus main characters, their relations, places); pipeline for Wiki-ELTeC data population; predefined SPARQL query exploration. (on site) Hands-on: population of Wikidata for other languages.
  7. Denis Maurel, Eric Laporte, Tita Kyriacopoulou, Cvetana Krstev: Unitex for processing of literary text: the case of NER automata. Enriching ELTEC texts by Named Entity Recognition using CasSys to parse texts with Unitex graph cascade of finite state transducers in different languages. (on site)
  8. and 9. Jessie Labov: ELTec in Nodegoat 1) Introduction to the Nodegoat interface and how it works with this kind of data, 2) Using Nodegoat for working with the ELTeC data (specifically the NER), demonstrating how to enrich it by linking it to open data sources. (online)

DETAILED PROGRAM AVAILABLE SOON

Training schedule:

 March 22, 2022 March 23, 2022 March 24, 2022
9-10 Christof  Schöch: What is ELTeC all about?
lecture
9-13 Diana Santos: NER exploitation and analysis
9-9:45 lecture
15 min break10:00-11:30 hands-on15 min break
11:45-13 lecture
9-13  Denis Maurel, Eric Laporte, Cvetana Krstev: Unitex for processing of  literary text: the case of NER automata
9:00-10:30 lecture, 
10:30-10.45 a small break
10:45-12h lecture
12:00-13:00 hands-on
10:15-
13:00
Maciej  Eder, Joanna Byszuk, Artjoms Šeļa: Exploring and comparing ELTeC  corpora with stylometry
10:15  –  lecture intro
11:00  –  Stylo intro hands-on
11:35-11:40  – a small break
11:40-13:00  –  advanced hands-on
14:00-15.30Ranka Stanković, Milica Ikonić Nešić: Wiki-ELTeC data session
14:00-14:45 lecture
14:45-15:30 hands-on
14:30-16   Jessie Labov, Pim van Bree, Geert Kessels:  Linking historical data with Nodegoat: Introduction 
lecture
14:00-
16:00
Fotis  Jannidis, Leonard Konle: Semantic analysis using word embeddings and language models.
14:00-15:15 lecture
15:15-16:00 hands-on
15:45 –  17:15Benedikt Perak: ELTeC Data Analysis, Representation of the Geo-Entities and Interlinking with Knowledge bases
15:45-16:30 lecture
16:30-17:15 hands-on
16:15 -18:15Pim van Bree, Geert Kessels:  ELTec in Nodegoat 
hands-on

Biographical notes:

Trainers: 

Christof Schöch (Trier University): Christof Schöch is Professor of Digital Humanities at the University of Trier, Germany, and Co-Director of the Trier Center for Digital Humanities. He is the chair of the COST Action Distant Reading for European Literary History. Find out more at https://christof-schoech.de/en. 

Joanna Byszuk is a researcher at the Institute of Polish Language, Polish Academy of Sciences, as well as a member of the Computational Stylistics Group. Her research focuses on cross-lingual computational stylistics and advancing stylometric methodology and its understanding, especially locating method limitations and developing evaluation procedures. She is also interested in the concept of authorship and in discourse analysis in multimodal and collaboration perspectives. She is also the leader of Working Group 2: Methods and Tools within this COST Action.

Maciej Eder is the Director of the Institute of Polish Language at the Polish Academy of Sciences, and an Associate Professor at the Pedagogical University of Kraków, Poland (the latter part-time). His recent research is focused on computational stylistics, or stylometry. As a literary scholar, he is interested in Polish literature of the 16th and the 17th centuries: critical scholarly editions being his main area of expertise.

Artjoms Šeļa is currently doing postdoctoral research at the Department of Methodology of the Institute of Polish Language (Kraków) and is a research fellow at the University of Tartu (Estonia). He holds PhD in Russian Literature and uses computational methods to understand historical change in literature and culture. His main research interests include stylometry, verse studies and cultural evolution. Sometimes he makes forays into digital preservation and the history of quantitative methods in humanities.

Diana Santos has organized three NER evaluation campaigns for Portuguese, called HAREM, back in 2007-2009, and taught about NE in several venues, in Portugal and at ESSLLI. She is currently professor of Portuguese language, and Statistics for Humanities at the University of Oslo. Find out more at https://www.hf.uio.no/ilos/english/people/aca/dssantos/index.html 

Benedikt Perak is an assistant professor at the Faculty of Humanities and Social Sciences, University of Rijeka, where he has been teaching courses in the fields of linguistics, digital humanities and data science. The research interest is related to the implementation and development of methods of digital humanities, NLP and data science. Find out more at https://portal.uniri.hr/Portfolio/1078  

Fotis Jannidis (Würzburg University) is Professor for Digital Humanities at the University of Würzburg in Germany. His main field of research is the quantitative analysis of literary texts. Currently he is the coordinator of the priority program ‘Computational Literary Studies’ with 10 funded projects (Computational Literary Studies). Find out more at http://www.jannidis.de

Denis Maurel, (Université de Tours, Lifat – Computer Science Research Laboratory): Denis Maurel is Professor of computer science at the University of Tours, France. He contributes to the free software Unitex. He is actually working in a French ANR Project to use literature-based discovery in scientific biological papers. (https://www.univ-tours.fr/annuaire/m-denis-maurel

Eric Laporte is a Professor in Computer Science at Université Gustave Eiffel and a member of the LIGM laboratory. He is a linguist as well and his research is mainly about language resources for natural language processing. Find out more at  http://igm.univ-mlv.fr/~laporte/index_en.html 

Tita Kyriacopoulou; (Université Gustave Eiffel, LIGM)  Find out more at https://philipsuni.ac.cy/personnel/kyriacopoulou-tita/ 

Jessie Labov (Institute for Literary Studies, Humanities Research Center, Budapest) is a Researcher in the Literary Theory Department of the Institute of Literary Studies at the Eötvös Loránd Research Network, where she is developing a new project on Hungarian Literature as World Literature. She is also Vice-Chair of the NEP4DISSENT COST Action. Find out more at https://iti.abtk.hu/hu/munkatarsaink/adatlap/191-labovjessie.  

Cvetana Krstev is  a professor at the University of Belgrade, Faculty of Philology. Her research interests are building lexical resources for Serbian for NLP – corpora, electronic dictionaries,  wordnet.  She is the author of a tool for named entity recognition and annotation for Serbian SrpNER.. Find out more at http://poincare.matf.bg.ac.rs/~cvetana

Ranka Stanković is an associate professor at the University of Belgrade, her field of research is NLP, semantic web, lexical resources, geoinformation management and deep learning. She is the Head of the Computer Center and the Chair for Applied Mathematics and Informatics, and Vice-president of the Language Resources and Technologies Society (JERTEH). Find out more at https://rgf.bg.ac.rs/eng/page.php?page=profesori_details&id=219 

Milica Ikonić is a teaching assistant at the University of Belgrade, Faculty of Philology and PhD student of the Intelligent Systems programme at the University of Belgrade, her field of research is NLP, information extraction, linked open data and language models. Find out more at

Distant reading, driven by the development of digital technology in the human sciences, has emerged as one of the most prolific approaches to literary texts. Maps, graphs and trees, in Moretti’s (2005) words, allow us to reread famous works in a new way, or to look at large amounts of texts that have long been forgotten. However, often, approaches to distant reading disregard the acquisition of the data to be observed: Where do they come from? How are they created?

Our training school proposes to return to the crucial stage of data acquisition, focusing on details of the production chain of literary data. During the two-day course, we will start with OCR (optical character recognition), which makes it possible to transform an image into machine-readable text, addressing the difficulties introduced by the variation of graphic systems or the materiality of old artifacts. The second – decisive – step is the encoding in XML-TEI, which transforms the text into a usable database and allows to addition of more information to the text (e.g., author, gender, period) for ensuing analysis. The third and final step is the analysis with R, which allows hypotheses to be tested and patterns to be explored by analysing and visualising data.

Basel Public and University Library, venue for the Training School

With a strong emphasis on practical experience, this training school is geared towards building the framework for a first multilingual Swiss literary corpus (French, Italian and German). Tasks participating in its construction during the training school will provide an opportunity to discuss pertinent issues.

This course is part of a collective work carried out within the European COST “Distant Reading For European Literary History” project of which the organizers are the Swiss representatives: https://www.distant-reading.net/

The working language of the training school is English, knowledge of at least one of the three languages of the literary data (French, Italian, German) is also required.

All information, including the full training school programme, can be found in French, German, and Italian here and here.

Registration process: target group of the training school isdoctoral students affiliated with the universities of Basel, Bern, Fribourg, Geneva, Neuchâtel and Lausanne as well as from the EPFL. Post-doc researchers can apply via a short email pending registration of PhD students who have priority.

Please register by sending an email to alexandre.camus@unil.ch  Participation is free of charge for doctoral students. All travel and accommodation expenses are covered by the doctoral program.

Practical information:

  • Course title “Distant Reading – Tools and Methods”
  • Instructors: Simon Gabay, Berenike Herrmann, Simone Rebora, Elias Kreyenbühl
  • Date: 12 and 13 December 2019
  • Location: Basel Public and University Library (UB)
  • Schedule: 9am-5.30pm 

1st Call for Short Term Scientific Missions (STSM) Applications in COST Action “Distant Reading for European Literary History” (CA 16204)

First call for Grant Period 2, for Missions occurring before March 31st, 2019.

COST Action “Distant Reading for European Literary History” (CA16204) is launching a new call for applications for Short Term Scientific Missions (STSMs). The deadline for applications is August 31th, 2018.

What is the COST Action “Distant Reading for European Literary History”? We aim to create a vibrant and diverse network of researchers jointly developing the resources and computational methods necessary to change the way European literary history is written. Fostering insight into cross-national, large-scale patterns and evolutions across European literary traditions, we will facilitate the creation of a broader, more inclusive and better-grounded account of European literary history and cultural identity.

What are Short-Term Scientific Missions (STSM)? STSMs aim to strengthen the existing COST Actions by allowing scientists to go to an institution or laboratory in another COST country to foster collaboration, to learn a new technique or to collect data using instruments and/or methods not available in their own institution/laboratory. They are particularly intended for Early Career Investigators (PhD students or researchers who received their PhD no more than 8 years ago).

For information about the Action, please see: http://www.cost.eu/COST_Actions/ca/CA16204 and http://www.distant-reading.net.

For information on the application process, please see: https://www.distant-reading.net/calls/call-for-stsm-july-2018/.