Brainmaker

Nanos gigantium humeris insidentes!

两个Final Projects的方案

  • July 11, 2010 4:02 pm
  1. Equivalence between Reductive English and FOPC
  • Labeled as: Eq RE & FOPC
  • Description: Reduce the expressive power of natural language to the level that FOPC is equivalent.
  • Related knowledge:
    • Theory of FOPC / logic
    • Psychology
    • Language
    • Turing machine
  • Problems
    • 不确定这个思路是不是正确的
    • 涉及到的句型数量可能很多
    • 难以证明
  • 方案
    • 弄清FOPC表现能力不足的地方 By July 11
      • 看FOPC不足的论文,并从NLP来分析
    • Reduce Natural English to the same level
  • 一些想法
    • 我之前得出的结论并不是reductive english 和 FOL的等价性,而是 利用reductive english 来解决semantic role 歧义问题
  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
  • 方向
    • Apply semi-supervised learning to certain corpus, and compare the result– basically similar to what we did in ML course
    • Improve others’ supervised learning to semi-supervised
      • 2007-Semi-Supervised Learning for Semantic Parsing using support vector machine.pdf
  • 方案:
    • 阅读2005-2010的Survey By Jul 11
      • 寻找improvement or implemantation,确定方向
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