9^th Workshop on the Challenges in the Management of Large Corpora

Special Topic: Design and Management of Research Software

Proceedings

The proceedings volume has been published at https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/10467

The versions available from there seem to have lost all hyperlinks.

When and where/how

CMLC-9 is going to take place on the 12^th of July and it is going to be an online event: a pre-conference workshop at Corpus Linguistics 2021 conference, hosted by the University of Limerick, Ireland.

The zoom link should have been sent to all registered participants. Please let us know if you don't have the zoom link, even though you are registered for the workshop.

Important dates

• Extended deadline for abstract submission: 20 May 2021 (midnight UTC)
• Notification of acceptance: 4 June 2021
• Deadline for the submission of camera-ready papers: 27 June 2021
• Online Meeting: 12 July 2021, 10.00 – 12.30 Irish Standard Time (UTC+1:00), online

Programme

All times are listed in Irish Standard Time (UTC + 1:00)

10.00 – 11.30     Session 1: Presentations

• Julien Abadji, Pedro Javier Ortiz Suárez, Laurent Romary and Benoît Sagot: "Ungoliant: An Optimized Pipeline for the Generation of a Very Large-Scale Multilingual Web Corpus"
• Markus Gärtner, Felicitas Kleinkopf, Melanie Andresen and Sibylle Hermann: "Corpus Reusability and Copyright – Challenges and Opportunities"
• Nils Diewald, Marc Kupietz and Eliza Margaretha: "Lessons learned in Quality Management for Online Research Software Tools in Linguistics"

11.45 – 12.30     Session 2: Panel Discussion about Research Software Management

Confirmed participants:

• Laurence Anthony (Waseda University, Japan)
• Nils Diewald (IDS Mannheim)
• Stefan Evert (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Andrew Hardie (Lancaster University, UK)
• Miloš Jakubíček (Lexical Computing Ltd.)
• Pavel Vondřička (Charles University, Prague)

Workshop description

The upcoming CMLC meeting continues the successful series of “Challenges in the management of large corpora” events, previously hosted at LREC (since 2012) and CL (since 2015) conferences. As in the previous meetings, we wish to explore common areas of interest across a range of issues in linguistic research data and tool management, corpus linguistics, natural language processing, and data science, with a special focus on tools, this time.

Linguistic research software and other topics of interest

To an even greater extent than in other disciplines, linguistic research data can hardly be used without the help of appropriate research software. As frequently noted at CMLC events, this often relates to the need for client/server approaches, as language data cannot usually be downloaded and processed on the home or lab PC, for legal and logistical reasons. Additionally, due to the complexity and high dimensionality of linguistic data and the unknown nature of the variation factors, specialised tools are needed on the way from raw data to their interpretation. These tools cannot be considered part of a general technical infrastructure.

Starting with the reconstruction or transformation of the raw data and e.g. its tokenization, the linguistic assumptions and decisions, as well as errors, manifested in research tools have as much influence on observations and possibly on research results as the research data itself – if data and tools can be treated separately at all. While approaches to the management of research data have been discussed quite broadly in the last 15 years, this was at best only marginally the case for research tools.

For this reason, CMLC-9 will focus on approaches to the design, development and management of research software (while not ignoring the other CMLC topics):

• Software development for linguistic research
  • Design
    • scientific criteria in software development
    • standards and good practices
  • Quality management and control
    • testing
    • code review
  • Licensing
    • source code licenses
    • contributor license agreements
    • embedded content licensing
  • Lifecycle management
    • maintenance
    • reproducibility
    • availability on operating systems/platforms
  • Contact with research community
    • teaching
    • software documentation and accessibility
    • potential “power users” and bug reporters
• Linguistic content challenges
  • Dealing with the variety of language: multilinguality, historical texts, noisy OCR texts, user-generated content, etc.
  • Integration of human computation (crowdsourcing) and automatic annotation
  • Quality management of annotations
  • Dealing with different linguistic data types (corpora, facsimiles, experimental data, neuroimaging data, …)
• Technical challenges
  • Storage and retrieval solutions for big textual data corpora: primary data (potentially including facsimiles, etc.), metadata, and annotation data
  • Scalable and efficient NLP tooling for annotating and analysing large datasets: distributed and GPGPU computing; using big data analysis frameworks for language processing
  • Dealing with streaming data (e.g. Social Media) and rapidly changing corpora
  • Environmental impact of big language data computing
• Exploitation challenges
  • Legal and privacy issues
    • new opportunities and issues after national implementations of EU Directive 2019/790 on copyright and related rights in the Digital Single Market
  • Query languages, data models, and standardization
  • Licensing models of open and closed data, coping with intellectual property restrictions
  • Innovative approaches for aggregation and visualisation of text analytics

Programme Committee

• Laurence Anthony (Waseda University, Japan)
• Vladimír Benko (Slovak Academy of Sciences)
• Felix Bildhauer (IDS Mannheim)
• Nils Diewald (IDS Mannheim)
• Tomaž Erjavec (Jožef Stefan Institute, Ljubljana)
• Stefan Evert (Friedrich-Alexander-Universität Erlangen-Nürnberg)
• Johannes Graën (University of Zurich, Switzerland)
• Andrew Hardie (Lancaster University, UK)
• Serge Heiden (ENS de Lyon/IHRIM, France)
• Miloš Jakubíček (Lexical Computing Ltd.)
• Natalia Kotsyba (Samsung Poland)
• Dawn Knight (Cardiff University)
• Michal Křen (Charles University, Prague)
• Sandra Kübler (Indiana University, USA)
• Veronika Laippala (University of Turku)
• Jochen Leidner (Thomson Reuters, UK)
• Vereina Lyding (EURAC Research, Italy)
• Paul Rayson (Lancaster University, UK
• Laurent Romary (INRIA)
• Jan-Oliver Rüdiger (IDS Mannheim)
• Kevin Scannell (Saint-Louis University)
• Roland Schäfer (FU Berlin)
• Roman Schneider (IDS Mannheim, Germany)
• Serge Sharoff (University of Leeds)
• Irena Spasić (Cardiff University, UK)
• Ludovic Tanguy (University of Toulouse)

Organising Committee

[hover for the e-mail address]

Institut für Deutsche Sprache, Mannheim

📩 Piotr Bański, 📩 Marc Kupietz, Harald Lüngen

Berlin-Brandenburg Academy of Sciences

📩 Adrien Barbaresi

Institute of Computational Linguistics, University of Zurich

Simon Clematide

Homepage

CMLC series homepage is located at http://corpora.ids-mannheim.de/cmlc.html