Natural Language Processing

Description

that are the core part of different applications.

In this lecture, the main techniques and applications of natural language processing will be introduced. In addition we briefly describe language modeling and machine learning concepts that are required to deal with language processing techniques and applications.

Organizational information

Lecturer: Dr. Saeedeh Momtazi
3 Credit Points
Schedule: Thursdays, 09:15 - 10:45
Room: HS 3
Mailing List: nlp2012(at)hpi(dot)uni-potsdam(dot)de

Schedule and Materials

Date	Topic(s)	Slides
12.04.12	Introduction to Language Techonoly	Session-1.pdf
19.04.12	Language Modeling	Session-2.pdf
26.04.12	Machine Learning for NLP	Session-3.pdf
03.05.12	Part of Speech Tagging Named Entity Recognition	Session-4.pdf
10.05.12	Parsing	Session-5.pdf
17.05.12	Public Holiday
24.06.12	No Lecture
31.05.12	Lexical Semantics Word Sense Disambiguation Word Similarity	Session-6.pdf
07.06.12	Text Categorization Sentiment Analysis	Session-7-1.pdf Session-7-2.pdf
14.06.12	Information Retrieval Relation Extraction	Session-8-1.pdf Session-8-2.pdf
21.06.12	Question Answering	Session-9.pdf

Exercises

Exercise 1:
- Task: implement the probabilistics CKY algorithm that use a set of rules R. The rules will be sent to the mailing list. For the start up you can use the small set of rules from the slides.
- Deadline: 30.05.2012
Exercise 2:
- Task: finding similar words based on their context in a corpus. The detailed description will be sent to the mailing list.
- Deadline: 20.06.2012

Course Book

SPEECH AND LANGUAGE PROCESSING

An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

by Daniel Jurafsky and James H. Martin

Second Edition

Assessment

Submitting exercises

Topics

Language Modeling

Clustering Algorithms

Semantic Role Labeling

Machine Translation