Update README.md

README.md

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 # Buscapé Sample annotated for Semantic Role Labelling
 
+## Propbank-Br Corpora Buscapé Sample
+
 The Propbank-Br is a project that aims to annotate corpora with semantic role labels for the purpose of creating training datasets for automated semantic role classifiers. The annotation scheme is quite similar to that of the English Propbank (Palmer et al., 2005), with language-specific differences taken into account. The set of semantic roles was designed to facilitate automatic learning. The annotation is done on syntactic trees generated by the Palavras parser (Bick, 2000).
 
 This particular sample was annotated for the purpose of evaluating semantic role classifiers. It contains 840 instances annotated with semantic role labels on syntactic trees generated by the Palavras parser (Bick, 2000). The instances were extracted from the Buscapé corpus (Hartmann et al. 2014), a corpus of user reviews on products. The syntactic trees in the sample were not reviewed by humans, and were annotated using two annotators for each sentence (double-blind annotation).
 
+## Data Treatment at LIAAD
 
-
+131 propositions were excluded in this revision of the dataset. These included propositions with verb index annotation errors or no verb annotations, and propositions with more
+than one label for a word. Additionally, we removed arguments
+labeled as "AM-MED" or "AM-PIN" because there is no mention of these labels in
+the annotation guides, and we removed
+any propositions with flags "WRONGSUBCORPUS", "LATER" or "REEXAMINE",
+since, according to the guide, these indicate something wrong with the sentence that
+prevents its annotation.
 
 - **Annotated by:** [PROSA](https://sites.google.com/view/prosa-nilc)
 - **Funded by [optional]:** [More Information Needed]
@@ -118,7 +127,7 @@ This particular sample was annotated for the purpose of evaluating semantic role
 
 ### Dataset Sources
 
-- **Paper [optional]:** Hartmann, N. S.; Avanço. L.; Balage, P. P.; Duran, M. S.; Nunes, M. G. V.; Pardo, T.; Aluísio, S. (2014). A Large Opinion Corpus in Portuguese - Tackling Out-Of-Vocabulary Words. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014).
+- **Paper:** Hartmann, N. S.; Avanço. L.; Balage, P. P.; Duran, M. S.; Nunes, M. G. V.; Pardo, T.; Aluísio, S. (2014). A Large Opinion Corpus in Portuguese - Tackling Out-Of-Vocabulary Words. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014).
 
 ## Uses