Natural Language Processing and the Web
We currently do not have fixed office hours, so please contact us by mail to get an appointment.
- Lecture: Tuesday 08:00-09:40, Room S202 / C205 starting October 17
- Practice class: Thursday 16:15-17:55, Room S202/C120 starting October 26
The learning material is available from the Moodle eLeaning platform.
If you plan to participate in this course, please register on Tucan.
To pass, each student has to take the written exam at the end of the semester.
There will also be a project in the practice class which will contribute to your overall grade.
- Date/Time: 27/2/2018 15:00-17:00
- Room: S202/C205 - Bosch Hörsaal
The Web contains more than 10 billion indexable web pages, which can be retrieved via search queries. The lecture will present Natural Language Processing (NLP) methods to (1) automatically process large amounts of unstructured text from the web and (2) analyse the use of Web data as a resource for other NLP tasks.
Processing of unstructured web content
- NLP Basics - Tokenisation, Part of Speech Tagging, Chunking, Stemming, Lemmatization
- Web contents and their characteristics - diverse genres of web contents, e.g. personal web sites, news sites, blogs, forums, wikis
- Web contents and their characteristics - continued
NLP applications for the web
- Information retrieval - introduction to the basics of information retrieval
- Web information retrieval - natural language interfaces for web information retrieval
- Question answering (QA): Factoid QA, Knowledge Base QA, Community QA
- Text Structuring
- Kai-Uwe Carstensen, Christian Ebert, Cornelia Endriss, Susanne Jekat, Ralf Klabunde, Computerlinguistik und Sprachtechnologie. Eine Einführung, Heidelberg: Spektrum-Verlag, März 2010. (3. Auflage) I
- T. Götz & O. Suhre, Design and implementation of the UIMA Common Analysis System, IBM Systems Journal, 2004, 43, 476-489.
- Adam Kilgarriff & Gregory Grefenstette, Introduction to the special issue on the web as corpus, Computational Linguistics, MIT Press, 2003, 29, 333-347
- Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.