» OntoAcapulco

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Resource type:

Ontology

Description:

Geographic ontology coded in OWL 2 related to the geographic region of Acapulco (Mexico).

Resource files:

OntoAcapulco (OWL file): ontology and data properties included. Filesize: 8 MB
objectProperties-OntoAcapulco (DB-backup file): object properties of the OntoAcapulco ontology. Filesize: 111 MB

For any question or more information, please contact to: José M. Perea-Ortega

» OntoBasic

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Resource type:

Ontology

Description:

Basic geographic ontology coded in OWL 2.

Resource files:

OntoBasic-v1.9 (OWL file) : ontology and data properties included. Filesize: 63 KB

For any question or more information, please contact to: José M. Perea-Ortega

» OntoGeoCuba

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Resource type:

Ontology

Description:

Spatial ontology coded in OWL 2, automatically generated from the GeoCuba Spatial DataBase.

Resource files:

OntoGeoCuba (OWL file): ontology file. Filesize: 278 KB

object-and-dataProperties-OntoGeoCuba (DB-backup file): object and data properties of the OntoGeoCuba ontology. Filesize: 37 MB

For any question or more information, please contact to: José M. Perea-Ortega

» OntoMarianao

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Resource type:

Ontology

Description:

Geographic ontology coded in OWL 2 related to the geographic region of Marianao (Cuba).

Resource files:

OntoMarianao (OWL file): ontology file. Filesize: 2 MB
object-and-dataProperties-OntoMarianao (DB-backup file): object and data properties of the OntoMarianao ontology. Filesize: 592 MB

For any question or more information, please contact to: José M. Perea-Ortega

» OSHUMED

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Resource type:

Corpora

Description:

Collection of documents (including documents, topics and relevance judgments) used in the TREC-9. The test collection consists of a set of 348.566 MEDLINE references.

» Otter

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Resource type:

NLP and IR Software

Description:

Automatic detection system to prove theorems stated in first-order logic with equality. It is encoded in ANSI C, is portable, easy to install and fast. Used mostly in Unix systems, although some limited versions work on Windows. Free use without restriction.

Resource link:

» Pai’s Text Utilities

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Resource type:

NLP and IR Software

Description:

Set of programs and scripts for text processing. GPL License

Resource link:

» PDL

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Resource type:

Mathematical Software

Description:

Perl-based language for modeling and data visualization. Supports 64-bit systems, MS Windows, Cygwin. GPL License

Resource link:

» PHPbb

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Resource type:

NLP and IR Software

Description:

Set of PHP code paquets that, easyly and with high possibility of customization, provide a forum system. It runs over SQL databases, Microsoft Access and Oracle. Multiplatform. GPL2 License

Resource link:

» Porter’s Stemmer

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Resource type:

NLP and IR Software

Description:

Algorithm to normalize English terms in Information Retruevak Systems. Available in several programming languages (ANSI C, Perl, Java, Python, PHP…). GPL License

Resource link:

» R-Project

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Resource type:

Mathematical Software

Description:

Language for statistical computation and statistical graphics. Works on a variety of UNIX platforms, Windows and MacOS. GPL License

Resource link:

» RapidMiner

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Resource type:

Machine Learning y Data Mining Software

Description:

Software for Data Mining and Visualization. GPL license, the non-free version (though free) adds Eclipse-based graphical interface. Previously known as YALE. Available for Windows and Linux (written in Java)

Resource link:

» Reuters

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Resource type:

Corpora

Description:

Collection of text categorization. Resource for research in information retrieval, machine learning and other research-based corpus. Available for scientific use.

Resource link:

» Reuters Corpus

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Resource type:

Corpora

Description:

2 CDs containing 810.000 English News by Reuters. In English language. Takes 2.5 GB uncompressed. Free (non-commercial) license. It is supplied under signed request and committing to reference them whenever you use for a paper.

» SFU-Review-SP-Neg

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Resource type:

Corpus

Description:

This corpus is an extension of the SFU Spanish Review Corpus (Brooke et al., 2009) with annotations about negation and its scope. It is a collection of 400 reviews of cars, hotels, washing machines, books, cell phones, music, computers and movies from the Ciao.es website. Each domain contains 25 positive and 25 negative reviews. Each review has been annotated at the token level with the lemma and the PoS and at the sentence level with negative keywords, their linguistic scope, the event and how the polarity of the sentence is affected by negation (if there is a change in the polarity or an increment or reduction of its value), also taking into account intensifiers and diminishers.

How to cite:

Jiménez-Zafra, S. M., Taulé, M., Martín-Valdivia, M. T., Ureña-López, L. A., & Martí, M. A. (2018). SFU Review SP-NEG: a Spanish corpus annotated with negation for sentiment analysis. A typology of negation patterns. Language Resources and Evaluation, 52(2), 533-569.

Jiménez-Zafra, S. M., Martín-Valdivia, M. T., Molina-González, M. D., & Ureña-López, L. A. (2018). Relevance of the SFU Review SP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish. Information Processing & Management, 54(2), 240-251.

Jiménez-Zafra, S. M., Martin, M., Lopez, L. A. U., Marti, T., & Taulé, M. (2016). Problematic cases in the annotation of negation in Spanish. In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM) (pp. 42-48).

Martí, M. A., Martín-Valdivia, M. T., Taulé, M., Jiménez-Zafra, S. M., Nofre, M., & Marsó, L. (2016). La negación en español: análisis y tipología de patrones de negación. Procesamiento del Lenguaje Natural, 57, 41-48.

Files of the resource:

Version 1.0.0: SFU_Review_SP_Neg.zip

For any questions related to the corpus, please send an email to Salud María Jiménez-Zafra or M. Teresa Martín-Valdivia.