Figurative Language Resolution
Module Description
Course | Module Abbreviation | Credit Points |
---|---|---|
BA-2010[100%|75%] | CS-CL | 6 LP |
BA-2010[50%] | BS-CL | 6 LP |
BA-2010[25%] | BS-AC | 4 LP |
BA-2010 | AS-FL | 8 LP |
Master | SS-CL, SS-FAL | 8LP |
Lecturer | Katja Markert |
Module Type | |
Language | English |
First Session | 24.04.2019 |
Time and Place | Wednesday, 11:15-12:45, INF 329 / SR 26 |
Commitment Period | tbd. |
Prerequisite for Participation
For MA Students: none.
For BA Students: ECL, Programming I
The topics and range of papers is very wide in this seminar, so
that both papers for relatively early career students as well as for
advanced students can easily be found.
Assessment
(i)Active Participation
(ii)Presentation
(iii)Second presentation, term paper or implementation project
Content
Figurative Language such as metaphor, irony, metonymy or idioms, is not just frequent but also
a fundamental cognitive mechanism that structures conceptual domains. Psycholinguistic
research showed that metaphorical framing influences human inference processes.
(Thibodeau und Boroditsky, 2013).
The resolution of figurative language was for a long time far behind other NLP
topics, with regards to robustness, scalability and evaluation standards.
This has changed in the last years due to the IARPA metaphor program, regular
"Metaphor in NLP" workshops and shared tasks in irony/sarcasm detection.
This seminar will look at linguistic and cognitive background to
figurative language as well as algorithms for processing a wide variety of
figurative language types, including metaphor, irony, metonymy and idioms.
The algorithms range from AI-based algorithms to distributional semantics
to multimodal approaches.
Module Overview
Agenda
Date | Session | Materials |
Literature
Will be given out at the beginning of term and is normally freely available.