COMPUTATIONAL LINGUISTICS - ADVANCED
Stampa
Enrollment year
2016/2017
Academic year
2016/2017
Regulations
DM270
Academic discipline
L-LIN/01 (GLOTTOLOGY AND LINGUISTICS)
Department
DEPARTMENT OF HUMANITIES
Course
THEORETICAL AND APPLIED LINGUISTICS; LINGUISTICS AND MODERN LANGUAGES
Curriculum
PERCORSO COMUNE
Year of study
Period
2nd semester (27/02/2017 - 01/06/2017)
ECTS
6
Lesson hours
36 lesson hours
Language
ITALIAN
Activity type
ORAL TEST
Teacher
PRODANOF IRINA RALUCA (titolare) - 6 ECTS
Prerequisites
Knowledge of fundamentals of computational linguistics is recommended
Learning outcomes
Discourse analysis is one of the most challenging tasks of natural language processing. Many applications as information extraction, Open Domain Question Answering, opinion and emotion mining, narratives, etc. need discourse analysis. Different theoretical approaches and computational models concerning aspects of discourse analysis (discourse structure, coherence and cohesion, anaphora resolution, information structure, etc.) will be presented as well as subjectivity mining and event and temporal relations detection.
Course contents
1. Computational models of discourse representation: Rhetoric Structure Theory (RST), Discourse Representation Theory (DRT), attention and intention in discourse;
2. Cohesion and coherence;
3. Anaphora resolution
4. Information structure: topic, focus, information packaging;
5. Subjectivity: opinion and emotion mining;
6. Annotation schemata: The Penn Discourse TreeBank?
7. Attribution
8. Events and temporal relations in discourse;
9. Event anaphora
Teaching methods
Lectures
Reccomended or required readings
M.A.K. Halliday & Ruqaiya Hasan, 1976. Cohesion in English, Longman Group Ltd

Jerry R. Hobbs, 1985. On the Coherence and Structure of Discourse, CSLI, Stanford University.

Jerry R. Hobbs and Michael Agar, 1985. The Coherence of Incoherent Discourse, Journal of Language and Social Psychology

Florian Wolf, Edward Gibson, 2005. Representing Discourse Coherence. A Corpus-Based Study, in ACL

Grosz Barbara and Candace L. Sidner, 1986. Attention, Intentions and the Structure of Discourse. Computational Linguistics 12.3

Eva Hajicova & Petr Sgall.1980. A dependency based specification of topic and focus. Statistical Methods in Linguistics, 1(2):435-454

Eva Hajicova & Petr Sgall.2001. Topic-focus and salience. Proceedings of the 39th Annual Meeting of the ACL.

Eva Hajicova, Petr Sgall and Hana Skoumalova.1993. Identifying topic and focus by an automatic procedure. Proceedings of the conference of EACL, Utrecht.

Eva Hajicova.1993. Issues of Sentence Structure and Discourse Patterns, cap.2: Sentence structure and communication: focus, negation and presupposition

Enric Vallduvì. 1990. The Information Component. PhD? thesis. University of Pennsylvania

Enric Vallduvì & Elisabet Engdahl.1996. The Linguistic Realization of Information Packaging. Linguistics, 34.

Mann, William C. and Sandra A. Thompson. 1988. Rhetorical Structure Theory: Toward a functional theory of text organization. Text, 8 (3), 243-281.

Taboada, Maite and William C. Mann. 2006. Rhetorical Structure Theory: Looking back and moving ahead. Discourse Studies, 8 (3), 423-459.
http://www.sfu.ca/rst/
http://www.sfu.ca/rst/05bibliographies/

Kamp, H. & Reyle, U. (1993): From Discourse to Logic: Introduction to Model-theoretic Semantics of NaturalLanguage?, Formal Logic and Discourse Representation Theory, Kluwer Academic Publishers, Dordrecht

Kamp, H. van Grenabith, J. & Reyle, U., Representation Theory Discourse ,
http://www.springerlink.com/content/q487665206465365

HUMAINE: http://emotion-research.net
Penn Discourse Treebank, http://www.seas.upenn.edu/~pdtb/

Inderjeet Mani, James Pustejovsky & Rob Gaizauskas (eds), The Language of Time, Oxford University Press
Assessment methods
oral examination
A contribution on an argument related to the topics discussed in the lectures or, in alternative, an annotation exercise on a corpus using an annotation tool. Evaluation and validation of the annotation scheme.
Further information
oral examination
A contribution on an argument related to the topics discussed in the lectures or, in alternative, an annotation exercise on a corpus using an annotation tool. Evaluation and validation of the annotation scheme.
Sustainable development goals - Agenda 2030