10.04.2013 Views

Unni Cathrine Eiken February 2005

Unni Cathrine Eiken February 2005

Unni Cathrine Eiken February 2005

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

The training and test material was modified by excluding all EPAS with non-verbal predicates,<br />

as well as all EPAS with the predicate være (be). This was done to see if these structures disturb<br />

the data material by adding irrelevant information that does not contribute to giving more<br />

information about the distribution of arguments in the EPAS. The accuracy increased slightly<br />

upon this modification of the data set. The editing did, however, not increase the accuracy when<br />

training on the edited EPAS_arg1 list and testing on EPAS containing pronouns in argument 1<br />

position.<br />

4.1.2.2 Classifying argument 2<br />

Analogous to the classification steps performed for argument 1, the classifications were repeated<br />

for occurrences of argument 2. The EPAS list with the second argument as category label will in<br />

the following be referred to as EPAS_arg2.<br />

Test 1<br />

Training set: EPAS_arg2 with no pronouns, argument 2 ignored.<br />

Test set: EPAS with pronouns in argument 2 position<br />

Result: (0/6) correct classifications<br />

Training the classifier on the EPAS_arg2 list without pronouns and testing on the EPAS with<br />

pronouns in argument 2 position did not produce any correct classifications. This is likely to in<br />

part be because of the small size of the test data set, as well as the homogenous nature of the test<br />

instances. Five of the wrongly classified instances were in fact of the same type; in all instances,<br />

the classifier had assigned the category kvinne (woman), while the correct antecedent was<br />

Slåtten.<br />

Test 2<br />

Training set: EPAS_arg2 with no pronouns, argument 2 ignored<br />

Test set: leave-one-out<br />

Result: 49,73% (95/191) correct classifications<br />

67

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!