Brainmaker

Nanos gigantium humeris insidentes!

Two project topics

  • July 11, 2010 3:49 pm
  1. Equivalence between Reductive English and FOPC
  • Labeled as: Eq RE & FOPC
  • Description: From the aspect of logic or math, prove that the FOL has the same expressive power of the converter I design
  • Related knowledge:
    • Theory of FOPC / logic
    • Psychology
    • Language
    • Turing machine
  • Pros and Cons
    • It’s a theoretical problem
    • It’s a good novel aspect
    • It might be too difficult
    • It might be even not correct
  • Evaluation
    • Academic Value: ▲▲▲▲△
    • Feasibility:▲▲△△△
    • Difficulty: ▲▲▲△△
  1. Semi-supervised Learning on NLP
  • Labeled as: ML on NLP
  • Description: Improvement or Implementation of Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
  • Related Knowledge
    • Machine learning
    • NLP
  • Pros and cons
    • It’s popular research field and match lots of researcher.
    • The potential professors options are greater.
    • I don’t have enough background knowledge for semi-supervised Learning.
  • Evaluation
    • Academic value: ▲▲▲△△
    • Feasibility: ▲▲▲▲△
    • Difficulty:▲▲▲▲△
  1. Probabilistic disambiguation:
  • Labeled as: PD
  • Description: P1, the context-free probability of a meaning to a word W; if given probability P2 to word W2. Then the joint probability is P(E1|E2)
  • Related knowledge
    • Probability
    • Syntax and Grammar
  • Pros and Cons
    • It’s a theoretical problem
    • It looks like obvious works
    • There is some work.
  • Evaluation
    • Academic value: ▲▲▲△△
    • Feasibility: ▲▲▲▲△
    • Difficulty:▲▲▲△△

Comparision: Project 2 vs Project 3 Projct3 is vague and would be part of Project 2, thus ruling out Project 3.

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