Workshop Co-chairs: Derek Bridge

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Fourth Workshop in Textual Case-Based
Reasoning Beyond Retrieval

• Workshop Co-chairs Derek Bridge
• Paulo Gomes
• Nuno Seco

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• Highlights
• Definition of a new research problem
  Conversational Textual CBR how to automatically
  extract/organise the features that become
  prompts.
• A new methodological framework how to evaluate
  this kind of feature set. (Effectiveness,
  efficiency. A discussion about other criteria.)
• A new application area e-learning contents.
  Extracting features for use in solutions.
  Discussion of the influence of domain.

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• Highlights
• A system for report authoring which guides manual
  adaptation of similar reports retrieved from the
  case base.
• A proposal that adaptation on structured cases
  can be followed by natural language generation.
  We discussed the practicalities of this.
• In the context of adaptation, we compared
• statistical approaches (e.g. vector space),
• information extraction using expert rules, and
• statistical approaches enhanced by learned
  knowledge.

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• Highlights
• A simple but effective visualisation of a case
  base where textual cases are represented by
  feature vectors.
• An intriguing case base complexity measure the
  degree to which sim. probs. have sim. solutions
  is assessed by the compressability of one of the
  visualisations.
• A wide-ranging discussion of the role of
  maintenance in TCBR and in CBR in general its
  not (just) about deletion.

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• Highlights
• Classification of sentences in incident reports
  as causes or facts using a novel vector
  representation separate vectors characterise
  subject, verb and object.
• Statistical techniques for recommending sentences
  to authors based on tools for, e.g., POS tagging,
  named entity extraction, construction of a
  translation model between problem and solution
  phrases...
• Discussion considered the merits of challenges
  and competitions to furthering work in TCBR, with
  ref. to this challenge, to the cooking
  competition and to TREC.

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Fourth Workshop in Textual Case-Based
Reasoning Beyond Retrieval

• Thank you for your attention!