Natural language processing. Semantics and pragmatic aspects. |
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Teaching Staff in Charge |
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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.
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Content |
1. Intensional logic of Montague. Translation of expressions in natural language to intensional logic. Glyn Morrill and Lambek calculus. Categorial grammars.
2. Word disambiguation: algorithms for supervised, bootstrapping and non-supervised disambiguation. Algorithms for client/server disambiguation. 3. Reference (anaphora) resolution. Mitkov's algorithm. Knowledge bases method. 4. Automatic interpretation of dialog acts. Features structures and dialog manager. Conversational agents. |
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. |
Assessment |
The examination is by oral 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 during the laboratory will be also evaluated (40%). |