Datasets:

liaad
/

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@@ -120,121 +120,51 @@ since, according to the guide, these indicate something wrong with the sentence
 prevents its annotation.
 - **Annotated by:** [PROSA](https://sites.google.com/view/prosa-nilc)
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
 - **Language:** Portuguese
-- **License:** [More Information Needed]
 ### Dataset Sources
 - **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
-<!-- Address questions around how the dataset is intended to be used. -->
-### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-[More Information Needed]
-## Dataset Structure
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-[More Information Needed]
-## Dataset Creation
-### Curation Rationale
-<!-- Motivation for the creation of this dataset. -->
-[More Information Needed]
-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-[More Information Needed]
-#### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-[More Information Needed]
-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### Annotation process
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-[More Information Needed]
-#### Who are the annotators?
-<!-- This section describes the people or systems who created the annotations. -->
-[More Information Needed]
-#### Personal and Sensitive Information
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 **BibTeX:**
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 **APA:**
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-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-## More Information [optional]
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-## Dataset Card Authors [optional]
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-## Dataset Card Contact
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 prevents its annotation.
 - **Annotated by:** [PROSA](https://sites.google.com/view/prosa-nilc)
 - **Language:** Portuguese
 ### Dataset Sources
+- **Link:** http://www.nilc.icmc.usp.br/semanticnlp/index.php?id=index&id_sub=principal&dir_sub=includes/projects/propbankbr&dir=includes/projects/propbankbr&lang=pt-br
 - **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).
+## Citation
 **BibTeX:**
+@inproceedings{hartmann-etal-2014-large,
+    title = "A Large Corpus of Product Reviews in {P}ortuguese: Tackling Out-Of-Vocabulary Words",
+    author = "Hartmann, Nathan  and
+      Avan{\c{c}}o, Lucas  and
+      Balage, Pedro  and
+      Duran, Magali  and
+      das Gra{\c{c}}as Volpe Nunes, Maria  and
+      Pardo, Thiago  and
+      Alu{\'\i}sio, Sandra",
+    editor = "Calzolari, Nicoletta  and
+      Choukri, Khalid  and
+      Declerck, Thierry  and
+      Loftsson, Hrafn  and
+      Maegaard, Bente  and
+      Mariani, Joseph  and
+      Moreno, Asuncion  and
+      Odijk, Jan  and
+      Piperidis, Stelios",
+    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
+    month = may,
+    year = "2014",
+    address = "Reykjavik, Iceland",
+    publisher = "European Language Resources Association (ELRA)",
+    url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/413_Paper.pdf",
+    pages = "3865--3871",
+    abstract = "Web 2.0 has allowed a never imagined communication boom. With the widespread use of computational and mobile devices, anyone, in practically any language, may post comments in the web. As such, formal language is not necessarily used. In fact, in these communicative situations, language is marked by the absence of more complex syntactic structures and the presence of internet slang, with missing diacritics, repetitions of vowels, and the use of chat-speak style abbreviations, emoticons and colloquial expressions. Such language use poses severe new challenges for Natural Language Processing (NLP) tools and applications, which, so far, have focused on well-written texts. In this work, we report the construction of a large web corpus of product reviews in Brazilian Portuguese and the analysis of its lexical phenomena, which support the development of a lexical normalization tool for, in future work, subsidizing the use of standard NLP products for web opinion mining and summarization purposes.",
+}
 **APA:**
+Hartmann, N. S., Avanço, L. V., Balage, P. P., Duran, M. S., Nunes, M. das G. V., Pardo, T. A. S., & Aluísio, S. M. (2014). A large corpus of product reviews in Portuguese: tackling out-of-vocabulary words. In Proceedings. Paris: ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2014/pdf/413_Paper.pdf
+## Dataset Card Authors
+Rita Lopes | https://huggingface.co/rita443 | [email protected]