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 Workshops

Workshop on Text Mining and Generation (TMG) @ ICCBR 2023

  •   July 17, 2023
  •   Full-day
  •   Co-located with ICCBR 2023
  •   Aberdeen, Scotland

Digital text data is produced across different sources such as social media. Simultaneously, very often only structured data is available. Within CBR, cases of the former are usually handled by using methods of Textual CBR, while Process-Oriented CBR addresses on the latter type of data. By leveraging their generic research origins, i.e., text mining and text generation approaches, we aim to diminish this gap. The target of text mining is to extract (useful) structured information from unstructured text. In contrast, text generation attempts to (automatically) create text from structured information or distributed knowledge. The goal of the TMG workshop is to bring these two perspectives together by eliciting research paper submissions that aim for applying text mining and generation approach in the context of CBR. We welcome any submission from any domain aiming to contribute to to close this gap.

Important Dates

All dates are calculated at 11:59 pm UTC
DateDescription
May 10, 2023Paper submission
June 12, 2023Paper notification
June 26, 2023Camera-ready copy
July 17, 2023Workshop date

Call for Papers

We welcome any submissions that deal with transforming the representation of data between structured and unstructured formats in the context of CBR-based systems: (applied) research papers, theoretical papers, user studies or prospective papers. Topics include, but are not limited to, the following:

  • Text mining for argumentation.
  • Case-based knowledge representation of text.
  • Similarity-based retrieval and ranking.
  • Informed similarity measures for structured text.
  • Generating descriptions for graph-based argument case representations.
  • Generating case-based explanations for retrieval.
  • Methods for Explainable CBR.
  • Ethical aspects of AI for text generation (e.g., mitigating bias or misinformation).
  • Integration of background knowledge and machine learning.
  • CBR and knowledge graphs.
  • Graph-to-text generation with knowledge graphs.
  • Knowledge graph refinement, particularly featuring text-based signals.
  • Snippet generation for search results.
  • CBR for Deep Learning with Text.

Submission Information

The submission of the papers should be in accordance to the CEUR-WS style and have to be submitted via EasyChair. The workshop is running a single-blind review process. Authors can submit the following types of papers:

  • Full Paper (10–16 pages, including references)
  • Short Paper (5–9 pages, including references)

Tentiative Workshop Schedule

StartEndEvent
09:0009:10Opening
09:1011:00Session 1
11:0011:30Coffee break
11:3013:00Currently pending: Invited talk with discussion
13:0014:00Lunch break
14:0015:30Session 2 with panel discussion
15:3016:00Coffee break
16:0017:30Poster session and socializing

Organizing Committee

Mirko Lenz

Mirko Lenz

 info@mirko-lenz.de

 Trier University

Lorik Dumani

Lorik Dumani

 dumani@uni-trier.de

 Trier University

Premtim Sahitaj

Premtim Sahitaj

 sahitaj@uni-trier.de

 Trier University

Jordan Robinson

Jordan Robinson

 J.Robinson9@liverpool.ac.uk

 University of Liverpool

Program Committee

Currently under construction, we will provide the list of PC members as soon as possible.

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