Seminar (Laura Kallmeyer)

Monday 10.30-12.00 and Tuesday 10.30-12.00.

Start: 20.04.2020. Last session: 14.07.2020.

Due to the current situation concerning Corona, the seminar will be taught as an online seminar. More information can be found here on the Moodle course page.

Course description:

Parsing is a central task in natural language processing. Its goal is to compute the syntactic structures of sentences. Such a syntactic structure could either be a constituency structure or a dependency structure. The former is in many cases taken to be generated by a context-free grammar (CFG). Consequently, constituency parsing amounts to a) implementing/inducing a context-free grammar and b) using this grammar for parsing. Dependency parsing, in contrast to this, is mostly grammar-less parsing using machine-learning techniques.

In this course, we will mainly concentrate on step b) of CFG-based constituency parsing. We will revise various symbolic parsing algorithms that yield, given a CFG and an input sentence, the set of all parse trees for this sentence. In the second half of the course, we will move on to probabilistic parsing, covering Viterbi parsing and weighted deductive parsing with A* estimates.

For references see the slides of the individual sessions.

Schedule and Slides

(Some of the slides are from previous years.)

Homework

There are weekly exercises for the course. These exercises are obligatory, they have to be handed in via Moodle. The solutions of the exercises will be discussed in the course.

Leistungsnachweise

Sowohl für einen BN als auch für eine AP müssen mindestens 9 der 12 Hausaufgabenblätter bearbeitet und sinnvoll gelöst werden. Gruppenarbeit (max. Gruppengröße ist 3) ist erlaubt, bitte alle Namen auf die Abgabe.
Für eine AP kann zusätzlich eine individuelle Prüfung vereinbart werden, zum Beispiel eine mündliche Prüfung.