24.07.2013 Views

Onto.PT: Towards the Automatic Construction of a Lexical Ontology ...

Onto.PT: Towards the Automatic Construction of a Lexical Ontology ...

Onto.PT: Towards the Automatic Construction of a Lexical Ontology ...

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.

8.4. Using <strong>Onto</strong>.<strong>PT</strong> 155<br />

Uma população (grupo com o mesmo tipo de organismo) pode adaptar-se através da<br />

evolução (desenvolvimento gradual) durante muitas .<br />

(a) gerações (c) adequações<br />

(b) tradições (d) maiorias<br />

Figure 8.8: Cloze question answered correctly using each resource.<br />

for improving <strong>the</strong> performance <strong>of</strong> NLP tasks where it is important to compute<br />

<strong>the</strong> similarity between words or concepts. Moreover, <strong>the</strong> results are better using<br />

CARTÃO and PAPEL than using <strong>Onto</strong>.<strong>PT</strong>, which suggests that, for this specific<br />

task, a lexical network is more adequate than a wordnet. No strong conclusions can<br />

be taken because, even though very similar, <strong>the</strong> algorithms used are also different.<br />

For instance, <strong>the</strong> algorithm using <strong>Onto</strong>.<strong>PT</strong> is more complex and relies on WSD,<br />

which can be an additional source <strong>of</strong> noise.<br />

Ano<strong>the</strong>r conclusion that emerges from this exercise is that merging knowledge<br />

from different resources originates better results. This explains why <strong>the</strong> accuracy<br />

using CARTÃO is higher than using only parts <strong>of</strong> it, more precisely, PAPEL, DA,<br />

or Wiktionary.<strong>PT</strong>.<br />

Finally, we should add that our results are much lower than <strong>the</strong> best accuracy<br />

for answering TOEFL synonymy questions automatically with <strong>the</strong> help <strong>of</strong> a<br />

lexicon (78.75%, by Jarmasz and Szpakowicz (2003)). However, <strong>the</strong> task we have<br />

performed is certainly more complex, and cannot be blindly compared. In <strong>the</strong> future,<br />

it would be interesting to try both <strong>Onto</strong>.<strong>PT</strong> and CARTÃO in <strong>the</strong> synonymy<br />

problem, analogy problems, and o<strong>the</strong>rs, as solving cross-words. So far, we did not<br />

find usable datasets with such resources for Portuguese, but we will keep looking for<br />

<strong>the</strong>m.

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

Saved successfully!

Ooh no, something went wrong!