1. Development of a lexical resource annotated with semantic roles for Portuguese
Leonardo Zilio
Supervisors: Prof. Dr. Maria José Bocorny Finatto
Prof. Dr. Aline Villavicencio

2. Goals
To make available a lexical resource for Portuguese with manually annotated semantic roles
To compare the use of verbs in specialized and non-specialized language contexts

3. Semantic Roles
John went to the park. Agent Destination . John opened the door with his key. Agent Patient Instrument The door opens with a key. Patient Instrument

4. Agent, Patient, Theme, etc.
Related Work
PropBank1,2
Numbered Roles
Arg0 to Arg5 +
Adjuncts
VerbNet3,4
36 Descriptive Roles
Agent, Patient, Theme, etc.

5. Workflow PALAVRAS Parser5 Dependencies Corpora:
Cardiology and Newspaper
SCF extraction tool6,7
Selection of verbs to be annotated
Database
Manually annotate the arguments
Transform results from database into XML
Make results available

6. SCF Extractor6,7
1 - Input: corpora analysed with the PALAVRAS parser5 ― Dependency trees

7. João viu o cachorro. (John saw the dog.)
Dependency tree
João viu o cachorro. (John saw the dog.)
João [João] <hum> PROP M #1->2
viu [ver] <vH> <fmc> <mv> V PS 3S IND #2->0
o [o] <artd> DET M #3->4
cachorro [cachorro] <Azo> N M #4->2
$. #5->0
</s>
Lemma
Syntax
Extras
Dependency
Grammar

8. Dependency tree
Root (0)
Ver (2)
João (1)
cachorro (4)
o (3)

9. SCF Extractor6,7 2 - Processing of all sentences in the corpora
3 - Extraction of all dependencies of main verbs
4 – Analysis of the relevant dependencies (exclusion of adverbs)
(4.1 – Classification of syntactic elements)
5 – Output: Database of SCFs (SQL file)

10. Interface

11. PHP-Interface – List of verbs
Frequency
Show frames

12. PHP-Interface – List of examples
Syntactic
classification
Sentence
Arguments

13. Semantic Role Labeling
Dropbox with all available semantic roles

14. The Resource
Newspaper
Cardiology
191 verbs
77 verbs
5,301 instances
1,931 instances
11,089 arguments
4,192 arguments
Availability: up-to-date XML files can be downloaded at the
CAMELEON Project website8
under Resources > Semantic Role Labeling

15. Today’s Stage Analysis of semantic roles for cross-genre comparison
Comparison with other resources, like VerbNet.Br4 and PropBank.Br2

16. Thank you!

17. Bibliography
1 = Palmer, Martha, Daniel Gildea e Paul Kingsbury The Proposition Bank: A Corpus Annotated with Semantic Roles. In: Computational Linguistics Journal, 31:1.
2 = Duran, Magali Sanches e Sandra Maria Aluísio Propbank-Br: a Brazilian treebank annotated with semantic role labels. In: Proceedings of the LREC 2012, May 21-27, Istanbul, Turquia.
3 = Kipper-Schuler, Karin VerbNet: a broad-coverage, comprehensive verb lexicon. University of Pennsylvania.
4 = Scarton, Carolina VerbNet.Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil. NILC/USP.
5 = Bick, E The Parsing System"Palavras": Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework, Volume 202. Aarhus University Press Aarhus.
6 = ZANETTE, Adriano. (2010) Aquisição de Subcategorization Frames para Verbos da Língua Portuguesa. Projeto de Diplomação. UFRGS. Orientadora: Aline Villavicencio.
7 = Zilio, Leonardo, Adriano Zanette and Carolina Scarton Automatic extraction of subcategorization frames from portuguese corpora. In: Aluisio, S. M. and Tagnin. S. E. O. (eds.) New Languages Technologies and Linguistic Research: a Two-Way Road. Cambridge Scholars Publishing, pp. 78-96.
8 =