Unni Cathrine Eiken February 2005

Unni Cathrine Eiken February 2005 Unni Cathrine Eiken February 2005

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enriched by several new EPAS. Still, for the purposes of this thesis, the list includes a broad enough variety of structures to be of use in the classification phase. In the process of assessing the quality of the EPAS list, it became evident that the most interesting structures are the simplest ones. The EPAS corresponding to verb-subject-object relations are the ones that contribute with most information about the selectional restrictions of the domain. An alternative way to obtain an effective and robust extraction of EPAS might have been to concentrate only on this type of structure, rather that focusing on extracting all EPAS from the text collections and then filtering out unwanted ones. In order to estimate the potential of a classification of the EPAS list, line diagrams were created using Formal Concept Analysis (FCA). FCA is a methodology of data analysis and knowledge representation which identifies conceptual structures in data sets, and was a useful tool in the process of identifying how the predicates and arguments in the EPAS list related to each other. FCA distinguishes between two types of elements; formal objects and formal attributes. A formal concept is seen as a unit consisting of all belonging objects and attributes (Wolff 1991, p. 430). Starting with any set of formal objects, all formal attributes the objects have in common can be identified. When using FCA to structure the data in the EPAS list, the arguments were termed objects, while the predicates were termed attributes. An FCA line diagram consists of all objects and attributes in a given context, organised hierachically according to their shared properties. Figure 5 below shows the FCA line diagram for part of the structures in the EPAS list 4 . Each white label corresponding to an argument from the EPAS list should be understood as a concept, and information about each concept can be read by following the upward leading paths from each concept. An object has a given attribute if there is an upward leading path from the object to the attribute (Wolff 1994, p. 431). Using the arguments/formal objects lensmann (sergeant) and Fonn as a starting point, the associated predicates/formal attributes gi (give), and bede-om (ask-for) can be identified. The arguments lensmann and Fonn co-occur with the predicates gi and bede-om, while politi (police), which is further down in the hierarchy, cooccurs with other predicates as well as those higher up in the diagram (gi, bede-om and bekrefte (confirm)). In other words, more general concepts are found toward the bottom of the diagram, while specialised concepts are found by following the paths upwards. For the data material in 4 The diagram was made using the program Concept Explorer, downloadable from http://sourceforge.net/projects/conexp 56

this project, this can be interpreted in terms of the contextual distribution the arguments have. Arguments found in the lower parts of the diagram are more general and co-occur with a wider range of predicates than the arguments found higher up in the hierarchy. In Figure 5, it can be seen that gjerningsmann (perpetrator) and drapsmann (killer) have similar distributions in the data material; drapsmann co-occurs with the predicates velge (choose) and gjemme (hide), while gjerningsmann only is found in connection with gjemme. On the basis of the formal concept analysis, it is clear that the EPAS list contains several arguments which show a distribution particular to their semantic meaning. The different lines in the diagram show interesting bundles of semantically related arguments and confirm the assumption that different types of arguments show different contextual distribution within the thematic domain. Figure 5 57

enriched by several new EPAS. Still, for the purposes of this thesis, the list includes a broad<br />

enough variety of structures to be of use in the classification phase.<br />

In the process of assessing the quality of the EPAS list, it became evident that the most<br />

interesting structures are the simplest ones. The EPAS corresponding to verb-subject-object<br />

relations are the ones that contribute with most information about the selectional restrictions of<br />

the domain. An alternative way to obtain an effective and robust extraction of EPAS might have<br />

been to concentrate only on this type of structure, rather that focusing on extracting all EPAS<br />

from the text collections and then filtering out unwanted ones.<br />

In order to estimate the potential of a classification of the EPAS list, line diagrams were created<br />

using Formal Concept Analysis (FCA). FCA is a methodology of data analysis and knowledge<br />

representation which identifies conceptual structures in data sets, and was a useful tool in the<br />

process of identifying how the predicates and arguments in the EPAS list related to each other.<br />

FCA distinguishes between two types of elements; formal objects and formal attributes. A<br />

formal concept is seen as a unit consisting of all belonging objects and attributes (Wolff 1991, p.<br />

430). Starting with any set of formal objects, all formal attributes the objects have in common<br />

can be identified. When using FCA to structure the data in the EPAS list, the arguments were<br />

termed objects, while the predicates were termed attributes. An FCA line diagram consists of all<br />

objects and attributes in a given context, organised hierachically according to their shared<br />

properties. Figure 5 below shows the FCA line diagram for part of the structures in the EPAS<br />

list 4 . Each white label corresponding to an argument from the EPAS list should be understood as<br />

a concept, and information about each concept can be read by following the upward leading<br />

paths from each concept. An object has a given attribute if there is an upward leading path from<br />

the object to the attribute (Wolff 1994, p. 431). Using the arguments/formal objects lensmann<br />

(sergeant) and Fonn as a starting point, the associated predicates/formal attributes gi (give), and<br />

bede-om (ask-for) can be identified. The arguments lensmann and Fonn co-occur with the<br />

predicates gi and bede-om, while politi (police), which is further down in the hierarchy, cooccurs<br />

with other predicates as well as those higher up in the diagram (gi, bede-om and bekrefte<br />

(confirm)). In other words, more general concepts are found toward the bottom of the diagram,<br />

while specialised concepts are found by following the paths upwards. For the data material in<br />

4 The diagram was made using the program Concept Explorer, downloadable from<br />

http://sourceforge.net/projects/conexp<br />

56

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