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Textual case-based reasoning

Textual case-based reasoning is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Textual case-based reasoning rather than just read about it. In short: Textual case-based reasoning (TCBR) is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute-value pairs.

Key takeaways

  • Textual case-based reasoning belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Textual case-based reasoning to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Textual case-based reasoning from memory before moving on to harder problems.

Reference excerpt

Textual case-based reasoning (TCBR) is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute-value pairs. This leads to the investigation of textual descriptions for knowledge exploration whose output will be, in turn, used to solve similar problems.

Subareas Textual case-base reasoning research has focused on:

measuring similarity between textual cases mapping texts into structured case representations adapting textual cases for reuse automatically generating representations.

References

External links Fourth Workshop on Textual Case-Based Reasoning: Beyond Retrieval Textual Case-Based Reasoning Wiki Archived 2012-06-15 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Textual case-based reasoning

Start with the simplest possible case. Write down what Textual case-based reasoning claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Textual case-based reasoning before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Textual case-based reasoning ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Textual case-based reasoning

In research
Textual case-based reasoning appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Textual case-based reasoning in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Textual case-based reasoning is common in secondary-school and first-year university syllabi. It links to neighbouring topics Classification algorithms, Inductive reasoning, Natural language processing, so understanding it makes those chapters shorter.
In everyday life
Look for Textual case-based reasoning outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Textual case-based reasoning in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Textual case-based reasoning means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Textual case-based reasoning out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Textual case-based reasoning in simple terms?

Textual case-based reasoning (TCBR) is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute-value pair…

Why does Textual case-based reasoning matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Textual case-based reasoning?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Textual case-based reasoning.

Tags

  • Classification algorithms
  • Inductive reasoning
  • Natural language processing
  • Natural language processing stubs

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