# VILAB Virtual Computer Science Laboratory University of Hagen ## Guided Tour |
| Abstract |  | Lab Tool |  | Examples |  | Technology |  | User Model |
### Example of a Task out of Lab Station 5: |
Overview
Lab Station 4
Example out of LS4
Lab Station 5
Example out of LS5
# Semantics of prepositional phrases ### Task Upgrade the existing parser to be able to understand all prepositional phrases built with "on". ### Background Prepositional phrases (PPs) are constituents of sentences introduced by a preposition like "on", "over", "in", and so on. The automatic interpretation of PPs is very important for understanding and disambiguating natural language sentences. Computational linguists use special programs, so-called parsers, to analyze natural language expressions. Parsers must "know" the rules, according to which they can analyze the language. This set of rules is called a grammar. Every grammar for a natural language must also have a subset of rules that cover prepositional phrases. These PP-rules can be formulated with the expressional means of MultiNet). The description of this meaning representation language can be found in the MultiNet documentation (H. Helbig, 2005). ### Literature Helbig, H., (2005). Knowledge Representation and the Semantics of Natural Language Springer, Berlin The chapter about relations and functions is of special help. Not all mentioned relations are relevant for this task; important for solving this task are the following (and maybe some associated) relations: ASSOC, ATTR, CAUS, CIRC, DIRCL, DUR, INSTR, LOC, OBJ, ORNT, RSLT, TEMP, VAL, *AUF (as subfunction of *FLP). Helbig, H. and Gnörlich, C. (2002). Multilayered Networks as a Language for Meaning Representation in NLP Systems. In: Lecture Notes in Computer Science 2275, Springer, Berlin, p. 69-85 This paper is a summary of MultiNet. Hartrumpf, S. (1999). Hybrid disambiguation of prepositional phrase attachment and interpretation. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-99), p. 111-120 In this paper, the use of PP-rules in a complete module for disambiguation is described. Helbig, H. and Hartrumpf, S. (1997). Word class functions for syntactic-semantic analysis . In Proceedings of the 2nd International Conference on Recent Advances in Natural Language Processing (RANLP'97), S. 312-317. Tzigov Chark, Bulgaria The parser is documented in this paper. … The rest of the task is left out.
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© FernUniversität in Hagen Last modified: Thu Jul 28 12:08:42 CEST 2005