Subject: Natural Language Processing. Semantics and Pragmatic Aspects	Code: MI361	

Semester	 Hours: C+S+L	Type	 Section	
2	2+2+0	compulsory	Intelligent Systems - in English	

Teaching Staff in Charge	Prof. TATAR Doina, Ph.D., dtatar@cs.ubbcluj.ro	
Aims	The semantics and pragmatics of natural language processing are central in human-computer interaction. Also, these aspects are important for text mining, text summarization, text generation and machine translation.	
Content	1. Text entailment. Systems participating at RTE-1 and RTE-2 Challenges of recognising text entailment. 
2. A lexical-semantic dictionary, WordNet. Semantic relations: synsets,  hypernyms, hyponyms, meronoyms, antonyms.
3. Discourse structure. Reference (anaphora) resolution : Mitkov Algorithm and KB algorithm, Dialogue : Feature Structures in dialog representation, Automatic interpretation of dialog acts, Discourse segmentation. Conversational agents.
4. Text Mining:  Text summarization, Text categorization, Information
Retrieval. 
5. Intensional logic of Montague. Translation of expressions from natural language to intensional logic. Glyn Morrill and Lambek calculus. 

	
Selective References	1. J.ALLEN: "Natural language understanding", Benjamin/Cummings Publ., 2nd ed., 1995. 
2. D.JURAFSKY, J.MARTIN: "Speech and language processing", Prentice Hall, 2000.
3. A.LECOMTE: "Grammaire et theorie de la preuve. Une introduction", T. A. L., 1996, vol 37, no.2, pp 3-37. 
4. C.MANNING, H.SCHUTZE: "Foundation of statistical natural language processing", MIT, 1999.
5. R. MITKOV: "Anaphora resolution", Ed. Longman, 2002. 
6. G.MORRILL: "Type LogicalGrammar.Categorial Logic of Signs", Kluwer Academic Publishers, 1994. 
7. S.J.RUSSELL, P.NORVIG: "Artificial intelligence.A modern approach", Prentice-Hall 
8. D.TATAR: "Inteligenta artificiala: demonstrare automata de teoreme, prelucrarea limbajului natural", Editura Albastra, Microinformatica, 2001.
9. D.TATAR: "Inteligenta artificiala. Aplicatii in prelucrarea limbajului natural", Editura Albastra, Microinformatica, 2003, ISBN 973-650-100-0.
10. Editor R. MITKOV: The Oxford Handbook of Computational Linguistics, Oxford University Press, 2003	
Assessment	The examination is by written exam, with the subjects from all the matter (60%). Will be evaluated the activity of understanding and communication of some recent papers in the field ; the realisation of a project will be also evaluated (40%)