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Course, academic year 2023/2024
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Dependency Analysis using Treebank - NSWI105
Title: Závislostní analýza pomocí treebanku
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2008
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: RNDr. Tomáš Holan, Ph.D.
Class: Informatika Mgr. - Matematická lingvistika
Classification: Informatics > Computer and Formal Linguistics, Software Engineering
Pre-requisite : NPRG031
Annotation -
Last update: T_KSVI (30.03.2005)
Seminar consisting from presentations of recent papers and articles and from programming of own analysers and their presentations.
Literature - Czech
Last update: T_KSVI (28.03.2006)
Eugene Charniak:
A Maximum-Entropy-Inspired Parser, Proceedings of NAACL-2000

Michael Collins:
Head-Driven Statistical Models for Natural Language Parsing.

PhD Dissertation, University of Pennsylvania, 1999.

Michael Collins, Jan Hajic, Lance Ramshaw and Christoph Tillmann:
A Statistical Parser for Czech. ACL 99.

Daniel M. Bikel:
A Statistical Model for Parsing and Word-Sense Disambiguation,

in the proceedings of the Joint SIGDAT Conference on

Empirical Methods in Natural Language Processing and Very Large Corpora

Daniel Zeman:
Parsing with a Statistical Dependency Model (PhD thesis).

Univerzita Karlova, Praha, 2004.

...a další

Syllabus -
Last update: T_KSVI (28.03.2006)

1. Basic notions: dependency tree, treebank, measures of performance.

2. Principles of parsing of context free languages, nonprojectivity.

3. Recent results (Charniak, Collins, Bikel, Nivre, Zeman, Žabokrtský, Smrž...)

4. Construction of own analysers.

 
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