Viviane Moreira’s Brief CV

 

Link to my full CV (LATTES) - In Portuguese

Viviane Pereira Moreira

 

Associate Professor at Instituto de Informática - UFRGS
Av Bento Gonçalves, 9500 - Porto Alegre - RS – Brazil

Home Page: http://www.inf.ufrgs.br/~viviane
Email: viviane@inf.ufrgs.br
Phone: +55 (51) 3308 6842    Fax: + 55 (51) 3308 7308

 

 

Short Bio

Viviane Moreira is an Associate Professor at the Institute of Informatics-UFRGS in Brazil. She received her Ph.D. from Middlesex University (UK – 2004) and her M.Sc. from INF-UFRGS (1999). In 2011, she spent a sabbatical year at the University of Utah (USA). Her areas of interest are Data Mining, Information Retrieval, and Databases. More specifically, her work has focused on multilingual matching, sentiment analysis, author profiling, plagiarism detection, and stemming algorithms. Viviane has advised over 20 graduate students and has coauthored over 55 peer-reviewed scientific papers. She has also taken part in a number of research projects both as coordinator and as participant. Viviane acts as program committee member in national and international conferences and as reviewer for research journals. She receives a productivity grant from CNPq-Brazil (PQ level2).

Link to full CV Lattes (in Portuguese)

Professional Experience

2006 – present                   Associate Professor – Institute of Informatics , UFRGS (Brazil)

2010 – 2011                         Visiting Professor – University of Utah (USA)

2005 – 2006                         Post-doctoral Researcher Institute of Informatics , UFRGS (Brazil)

2004 – 2005                         Lecturer - Universidade de Passo Fundo (Brazil)

2000 – 2004                         Part-time Lecturer  - Middlesex University (UK)

 

H-index: 12                                                           Number of Citations: 913

Research  Interests

Some topics of interest in the areas of Natural Language Processing, Data Mining, and Information Retrieval are listed below together with the contributions made on each topic and references to published papers.

·         Sentiment Analysis is being addressed by ongoing MSc projects. More specifically, they focus on Multilingual Opinion Mining [1] and polarity detection [2, 16].

·         Author Profiling deals with identifying the characteristics of an author just analyzing a text written by him/her. A proposal of using features derived from Information Retrieval is summarized in [6].

·         Multilingual Matching deals with finding correspondences between data items written in different natural languages. The contributions in this topic include methods for finding missing cross-language links [8] and matching infoboxes across languages [9], both aimed at Wikipedia. In addition, a focused crawler that collects topic-specific multilingual texts from the Web [17] was also developed.

·         Cross-Language Information Retrieval, in this topic, the contributions include developing a novel method based on Association Rules [21] and an analysis of Relevance Feedback [13].

·         Plagiarism Detection, this is the topic recently completed PhD thesis in which the focus was on comparing and combining distinct approaches to detect plagiarism [2].

·         Stemming Algorithms. The long-lasting interest in this topic started in 2001 with the proposal of a stemming algorithm for Portuguese [22] which is widely used by the community and is available in numerous programming languages. Recently a broad evaluation of stemmers for IR was carried out [3].

Selected Publications

Journal Articles

1.       Karin Becker, Viviane Pereira Moreira, Aline G. L. dos Santos: Multilingual emotion classification using supervised learning: Comparative experiments. Inf. Process. Manage. 53(3): 684-704 (2017)

2.       Anderson Uilian Kauer and Viviane P. Moreira. Using information retrieval for sentiment polarity prediction. Expert Systems with Applications, 61:282-289, 2016.

3.       Felipe N. Flores and Viviane P. Moreira. Assessing the impact of stemming accuracy on information retrieval - a multilingual perspective. Information Processing & Management, v. 52, p. 840-854, 2016.

4.       Pertile, S.; Moreira, V. P.; Rosso, P. Comparing and Combining Content and Citation-Based Approaches for Plagiarism Detection. Journal of the Association for Information Science and Technology, 2015 (to appear).

5.       Kantorski, G. Z. ; Moreira,V.P. ; Heuser, Carlos A. . Automatic filling of hidden web forms: a Survey. SIGMOD Record, v. 44, p. 24, 2015.

6.       Weren, E. R. D.; Kauer, A.; Mizusaki, L. P.; Moreira, V. P.; Oliveira, J. P. M. de; Wives, L. K. . Examining Multiple Features for Author Profiling. Journal of Information and Data Management v. 5, p. 266-279, 2014.

7.       Moraes, M. C. ; Heuser, C. A. ; Moreira, V. P. ; Barbosa, D. Prequery Discovery of Domain-Specific Query Forms: A Survey. IEEE Transactions on Knowledge and Data Engineering, v. 25, p. 1830-1848, 2013.

8.       Moreira, C. E. M.; Moreira, V. P. Finding Missing Cross-Language Links in Wikipedia. Journal of Information and Data Management - JIDM, v. 4, p. 1, 2013.

9.       Nguyen, T. ; Moreira, Viviane P. ; Nguyen, H. ; Nguyen, H. ; Freire, J. Multilingual schema matching for Wikipedia Infoboxes. Proceedings of the VLDB Endowment, v. 5, p. 133, 2011.

10.    dos Santos, J.;  Heuser C. A.; Moreira, V. P.; Wives, L. K. Automatic threshold estimation for data matching applications. Information Sciences, v. 181, p. 2685-2699, 2011.

11.    Dorneles, C. F.; Nunes, M. F.; Heuser, C. A.; Moreira, Viviane P., da Silva, A. S., de Moura, E. S. A strategy for allowing meaningful and comparable scores in approximate matching. Information Systems (Oxford). , v.34, p.673 - 689, 2009.

12.    Da Silva, R.; Stasiu, R.; Orengo, V.; Heuser, C. Measuring quality of similarity functions in approximate data matching. Journal of Informetrics. v.1, p.35 - 46, 2007.

13.    Orengo, V.; Huyck, C.; Relevance Feedback and cross-language information retrieval. Information Processing & Management. v.42, p.1203 - 1217, 2006.

14.    Huyck, C.; Orengo, V. Information Retrieval and Categorisation using a Cell Assembly Network. Neural Computing & Applications. v.14, p.282 - 289, 2005.

 

Conference Papers

15.    Rogers P. de Pelle and Viviane P. Moreira. Offensive comments in the brazilian web: a dataset and baseline results. In 6th Brazilian Workshop on Social Network Analysis and Mining (BraSNAM), 2017. to appear.

16.    Kauer, A. ; Moreira, V. P. UFRGS: Identifying Categories and Targets in Customer Reviews. In: International Workshop on Semantic Evaluations (SemEval), 2015,

17.    Laranjeira, B. R. ; Moreira, V. P. ; Villavicencio, A. ; Ramisch, C. ; Finatto, M. J. . Comparing the Quality of Focused Crawlers and of the Translation Resources Obtained from them. In: LREC, 2014.

18.    Souza, A. ; Heuser, C. A. ; Moreira, V. P.  ARTIC: Metadata Extraction from Scientific Papers in PDF using Two-Layer CRF. In: DocEng, 2014.

19.    Moraes, Mauricio C.; Barbosa, Denilson ; Moreira, V. P. ; Heuser, Carlos A. Automatically Training Form Classifiers. In: International Conference on Web Information Systems Engineering (WISE), 2013.

20.    Volpe, I. ; Moreira, V. P. ; Huyck, C. Cell Assemblies for Query Expansion in Information Retrieval. In: International Joint Conference on Neural Networks (IJCNN), 2011.

21.    Geraldo, A. P.; Moreira, V. P.; Gonçalves, M. A. On-demand Associative Cross-Language Information Retrieval. International Symposium on String Processing and Information Retrieval (SPIRE), 2009.

22.    Orengo, V. M.; Huyck, Christian A Stemming Algorithm for The Portuguese Language In: International Symposium on String Processing and Information Retrieval (SPIRE), 2001.