LEC # | TOPICS | KEY DATES |
---|---|---|

1 | Introduction and Overview | |

2 | Parsing and Syntax I | |

3 | Smoothed Estimation, and Language Modeling | |

4 | Parsing and Syntax II | |

5 | The EM Algorithm | |

6 | The EM Algorithm Part II | |

7 | Lexical Similarity | Homework 1 due |

8 | Lexical Similarity (cont.) | |

9 | Log-Linear Models | |

10 | Tagging and History-based Models | |

11 | Grammar Induction | Homework 2 due |

12 | Computational Modeling of Discourse | |

13 | Text Segmentation | |

Midterm | ||

14 | Local Coherence and Coreference | Homework 3 due |

15 | Machine Translation | |

16 | Machine Translation (cont.) | |

17 | Machine Translation (cont.) | |

18 | Graph-based Methods for NLP Applications | Homework 4 due |

19 | Word Sense Disambiguation | |

20 | Global Linear Models | |

21 | Global Linear Models Part II | Homework 5 due |

22 | Dialogue Processing | |

23 | Dialogue Processing (cont.) | |

24 | Guest Lecture: Stephanie Seneff | Homework 6 due |

25 | Text Summarization | |

Final Exam |

## Calendar

## Course Info

##### Instructors

##### Departments

##### As Taught In

Fall
2005

##### Level

##### Topics

##### Learning Resource Types

*notes*Lecture Notes

*assignment*Problem Sets