CISUC

Comparing the Performance of Different NLP Toolkits in Formal and Social Media Text

Authors

Subject

Natural Language Processing

Conference

5th Symposium on Languages, Applications and Technologies (SLATE'16), June 2016

DOI


Cited by

Year 2019 : 5 citations

 Evans, L., Crockett, K., Owda, M., and Vilas, A. F. (2019). A Methodology for the Resolution of Cashtag Collisions on Twitter – a Natural Language Processing & Data Fusion Approach. Expert Systems with Applications, page (online since March 2019).

 Abrami, G., Mehler, A., Lucking, A., Rieb, E., and Helfrich, P. (2019). Textannotator: A flexible framework for semantic annotations. In Proceedings of 15th Joint ACL - ISO Workshop on Interoperable Semantic Annotation, Gothenburg, Sweden. ACL Press.

 Martinez-Rodriguez, J. L., Lopez-Arevalo, I., Rios-Alvarado, A. B., Hernandez, J., and Aldana-Bobadilla, E. (2019). Extraction of RDF statements from text. In Iberoamerican Knowledge Graphs and Semantic Web Conference, volume 1029 of CCIS, pages 87–101. Springer.

 Zahidi, Y., El Younoussi, Y., and Azroumahli, C. (2019). Comparative study of the most useful arabic-supporting natural language processing and deep learning libraries. In Proceedings of 5th International Conference on Optimization and Applications (ICOA). IEEE.

 Canosa, X., Gamallo, P., Varela, X., Taboada, J. A., Taboada, J. A., and Garcia, M. (2019). Uma utilidade para o reconhecimento de topónimos em documentos medievais. Linguamática, 11(1).

Year 2018 : 6 citations

 Silva, N. G. N. (2018). Information extraction from unstructured recipe data. Master’s thesis, Universidade do Porto.

 Fragkou, P. (2018). Combining information extraction and text segmentation methods in greek texts. Artificial Intelligence Research, 7(1).

 Neumer, T. (2018). Efficient natural language processing for automated recruiting on the example of a software engineering talent-pool. Master’s thesis, Technische Universitat Munchen.

 Gudivada, V. N., & Arbabifard, K. (2018). Open-Source Libraries, Application Frameworks, and Workflow Systems for NLP. Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, 38, 31.

 Suryawati, E., Munandar, D., Riswantini, D., Abka, A. F., and Arisal, A. (2018). Pos-tagging for informal language (study in indonesian tweets). Journal of Physics: Conference Series, 971.

 Rudniy, A. (2018). De-identification of laboratory reports in stem. The Journal of Writing Analytics, 2:176–202.

Year 2017 : 4 citations

 Baumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollstandig beschriebenen Softwareanforderungen. PhD thesis, Universitat Paderborn.

 da Gama Batista, F. D. (2017). Using named entity recognition for relevance detection in social network messages. Master’s thesis, Universidade do Porto.

 Fragkou, P. (2017). Applying named entity recognition and co-reference resolution for seg- menting english texts. Progress in Artificial Intelligence. (online on May 2017)

 Batista,F. and Figueira, A. (2017).The complementary nature of different NLP toolkits for named entity recognition in social media. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, volume 10423 of LNCS, pages 803–814. Springer.