SlideServe
Menu
Préférences
© SlideServe · v2026

Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco

mcgees avatar
7 diapositives · 89 Views · Jan 01, 2020

Fourth Workshop in Textual Case-Based Reasoning: Beyond Retrieval. Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco. Highlights Definition of a new research problem: Conversational Textual CBR : how to automatically extract/organise the features that become prompts.

Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco - slide 1
01 / 7Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco
1 / 17

Télécharger la présentation

Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation
  1. Fourth Workshop in Textual Case-Based Reasoning: Beyond Retrieval Workshop Co-chairs: Derek Bridge Paulo Gomes Nuno Seco

  2. 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.

  3. 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.

  4. 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: “it’s not (just) about deletion”.

  5. 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.

  6. Fourth Workshop in Textual Case-Based Reasoning: Beyond Retrieval Thank you for your attention!