Natural Language Understanding
Spring Semester 2018
This course presents an introduction to general topics and techniques used in natural language processing today, primarily focusing on statistical approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.
The objective of the course is to learn the basic concepts in the statistical processing of natural languages. The course will be project-oriented so that the students can also gain hands-on experience with state-of-the-art tools and techniques.Course Catalogue Info
|18/02/2018||The webpage for this year's course is online.|
|18/02/2018||Lectures start on Monday - February 19th!|
|18/02/2018||Exercises start on Monday - February 26th!|
|15/03/2018||The first project is now available!|
|1||19.02.2018||Introduction, Entities||lecture01a lecture01b||No Exercise|
|2||26.02.2018||Part-of-Speech, Named-Entity Recognition, IE||lecture02||exercise01|
|3||05.03.2018||Language Models||lecture03||assignment02 prog_assignment02 solution02 sol_prog_assignment02|
|4||12.03.2018||Lexical Semantics, Word Embeddings||lecture04||assignment03 solution03|
|5||19.03.2018||Spoken Language||lecture05||TensorflowSlidesTensorflowNotes code|
|7||02.04.2018||Easter Holiday||No Lecture||No Exercise|
|8||09.04.2018||Grammars and Parsing, Part I||lecture07||exercise06assignment06solutions06|
|9||16.04.2018||Grammars and Parsing, Part II||lecture08||No Exercise|
|10||23.04.2018||Document & Topic Models||lecture09||assignment07solutions07|
|12||07.05.2018||Text Summarization, Sentiment Analysis||lecture10||Project 2 Intro|
|14||21.05.2018||Holiday||No Lecture||No Exercise|
|Monday||10 - 12 h||CAB G 11|
Exercises (starting february 26)
|Monday||13 - 14 h||ML H 44|
Each exercise session will provide you with a a pen-and-paper problem and discussion of the solution in the session. These problems help solidify theory presented in the lecture and identify areas of lack of understanding.
Based on the topics covered, you will be given two projects to be developed during the semester. For each of the projects, students must work in small groups of 3-4 students.
|Project description for Task 1 out of 2 is online: here.|
|Project description for Task 2 out of 2 is online: here.|
The mode of examination is written, 120 minutes length. The language of examination is English. No written aids are allowed for the exam.
Your final grade will be determined by the written final exam (70%) and the semester projects (30%).
Recordings of the Lectures
You can ask questions on piazza. Please post questions there, so others can see them and share in the discussion.
If you have questions which are not of general interest, please don't hesitate to contact us directly.
|Lecturer||Prof. Thomas Hofmann|
|Lecturer||Dr. Massimiliano Ciaramita||Head Assistant||Paulina Grnarova|
|Assistants||Florian Schmidt, Gary Becigneul, Konstantin Taranov, Jovan Andonov, Benjamin Gallusser, Alexandru Tifrea|
Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (Second Edition), by Daniel Jurafsky and James H. Martin