IA161 Syntactic Formalisms and Their Application in Natural Language Parsing

Faculty of Informatics
Autumn 2014
Extent and Intensity
1/1/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. RNDr. Aleš Horák, Ph.D. (lecturer)
RNDr. Vojtěch Kovář, Ph.D. (lecturer)
RNDr. Miloš Jakubíček, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 12:00–13:50 B411
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
This course aims at introducing state-of-the-art methods for parsing of natural languages, their theoretical background, algorithms and practical implementations and applications.
Syllabus
  • Theoretical background: historical overview, state of the art in parsing methods (phrase-structure parsing, dependency parsing, chunking) and trends, advanced formalisms: HPSG, LFG, CCG, DG, TAG.
  • Algorithms and practical implementations: algorithms, implementations, applications and evaluation of parsing (treebanks, tree similarity measurement techniques).
Literature
  • MERLO, Paola, Harry BUNT and Joakim NIVRE. Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing. Springer Netherlands, 2011, 297 pp. Text, Speech and Language Technology, Vol. 43. ISBN 978-90-481-9351-6. URL info
Teaching methods
Lectures, practical homework assignments.
Assessment methods
Homework assignments and a final written test; minimum pass level 70 %.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught only once.
The course is also listed under the following terms Autumn 2011, Autumn 2013, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2014, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2014/IA161