Seminar in Natural Language Processing


Instructor: Professor Nachum Dershowitz
With: Dr. Roni Katzir and Kfir Bar

Time & Place:
Mondays, 16:10 - 17:50
Dan David 211

What this is About

View Siri and think about what goes into such a system.

Schedule


Date Speaker Title
1. 31 October Nachum Introduction
2. 7 November Kfir Indonesian
Roni Learning Morphology

Babies
3. 14 November Michal Russian
Annat Hidden Markov Models
Ran Speech Recognition
4. 21 November Amit Maltese
Adam Multilingual Induction
5. 28 November Sanda Haitian Creole
Hila POS Tagging
6.
5 December
Tomer
Chechen
Nadav
Named Entity Extraction
Amir
Word Sense Disambiguation
7.
12 December
Ran
Somali
Annat
Khoekhoe
Michal
Using Syntax
8.
19 December
Nadav
American Sign Language
Nimrod
Semantic Role Labeling
9.
26 December
Or
Basque
Yotam
Anaphora Resolution
Amit
Latent Dirichlet Allocation
10.

2 January

Daniel
Authorship
Tomer
Bible
11.


9 January


Yotam
Mandarin
Nimrod
Hindi
Guy
Summarization
12.

16 January

Lena
Egyptian
Guy
Coptic
Sanda
Machine Translation
13.
23 January
Tammy Hebrew Chunking
Daniel Finish
Hila
Navajo
14.
30 January
Tammy Hungarian
Adam
Japanese
Amir Mayan (flash program)
Or
Discourse Relations

Requirements:

  1. Attendance
  2. Presentation
  3. Language capsule
  4. Three responses, including written summary

Links on Presenting

  1. Harvard Guidelines
  2. Ian Parberry on Presenting
  3. Ian Parberry's Speaker's Guide
  4. Visual Aids
  5. Using Colors

Important Links

  1. NLP in Israel
  2. NLP Israel Blog
  3. ISCOL
  4. Last Year's Seminar

Fun

  1. Hardest languages

Basic Materials

  1. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, by Daniel Jurafsky and James H. Martin.
  2. Foundations of Statistical Natural Language Processing by Chris Manning and Hinrich Schutze, MIT Press, 1999.
  3. Gideon Dror's Course
  4. Natural Language Processing: Course by Christopher D. Manning
  5. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

Topics