Part of
Recent Advances in Natural Language Processing: Volume II: Selected papers from RANLP ’97Edited by Nicolas Nicolov and Ruslan Mitkov
[Current Issues in Linguistic Theory 189] 2000
► pp. 353–
Edited by Nicolas Nicolov and Ruslan Mitkov
[Current Issues in Linguistic Theory 189] 2000
► pp. 353–
Using WordNet to complement training information in text categorisation
Cited by
Cited by 22 other publications
Altınel, Berna & Murat Can Ganiz
2018. Semantic text classification: A survey of past and recent advances. Information Processing & Management 54:6 ► pp. 1129 ff. 
An, Seongho, Bok Gyo Jeong, Mirae Kim, Sung-Ju Kim & Jiwon Suh
2022. Globalizing the Field by Learning from Non-English-Based Nonprofit Studies: A Review of South Korean Nonprofit Literature. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations
Bai, Rujiang, Xiaoyue Wang & Junhua Liao
2010. Extract Semantic Information from WordNet to Improve Text Classification Performance. In Advances in Computer Science and Information Technology [Lecture Notes in Computer Science, 6059], ► pp. 409 ff.
Bloehdorn, Stephan & Andreas Hotho
2009. Ontologies for Machine Learning. In Handbook on Ontologies, ► pp. 637 ff.
Chy, Abu Nowshed, Md Hanif Seddiqui & Sowmitra Das
2014. 16th Int'l Conf. Computer and Information Technology, ► pp. 366 ff.
Gómez Hidalgo, José María, Manuel de Buenaga Rodríguez & José Carlos Cortizo Pérez
2005. The Role of Word Sense Disambiguation in Automated Text Categorization. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 3513], ► pp. 298 ff.
Hammer, Hugo Lewi, Anis yazidi, Aleksander Bai & Paal Engelstad
2016. Proceedings of the 31st Annual ACM Symposium on Applied Computing, ► pp. 1174 ff.
Hammer, Hugo Lewi, Anis Yazidi, Aleksander Bai & Paal Engelstad
2017. Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. In Industrial Networks and Intelligent Systems [Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 188], ► pp. 122 ff.
Hu, Jian, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang & Zheng Chen
2008. Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, ► pp. 179 ff.
Huseynova, Farida
2021. Imprecision of Semantic Meaning in a Natural Language. In 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 [Advances in Intelligent Systems and Computing, 1306], ► pp. 239 ff.
Jun, So-Young, Dinara Aliyeva, Ji-Min Lee & SangKeun Lee
2018. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), ► pp. 1 ff.
Kanika, Shampa Chakraverty, Pinaki Chakraborty, Aditya Aggarwal, Manan Madan & Gaurav Gupta
2022. Enriching WordNet with Subject Specific Out of Vocabulary Terms Using Existing Ontology. In Data Engineering for Smart Systems [Lecture Notes in Networks and Systems, 238], ► pp. 205 ff.
Liao, Junhua & Rujiang Bai
2009. Building “Bag of Conception” Model Based on DBpedia. In Advances in Software Engineering [Communications in Computer and Information Science, 30], ► pp. 66 ff.
Luo, Qiming, Enhong Chen & Hui Xiong
2011. A semantic term weighting scheme for text categorization. Expert Systems with Applications 38:10 ► pp. 12708 ff.
Nyberg, Katariina, Tapani Raiko, Teemu Tiinanen & Eero Hyvönen
2010. Proceedings of the Eighth Workshop on Mining and Learning with Graphs, ► pp. 86 ff.
Poyraz, Mitat, Murat C. Ganiz, Selim Akyokus, Burak Gorener & Zeynep Hilal Kilimci
2012. 2012 International Symposium on Innovations in Intelligent Systems and Applications, ► pp. 1 ff.
Reforgiato Recupero, Diego
2007. A new unsupervised method for document clustering by using WordNet lexical and conceptual relations. Information Retrieval 10:6 ► pp. 563 ff.
Renjith, Shini, A. Sreekumar & M. Jathavedan
2022. Taxonomy grooming algorithm ‐ An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data. Concurrency and Computation: Practice and Experience 34:11
Wang, Pu, Jian Hu, Hua-Jun Zeng, Lijun Chen & Zheng Chen
2007. Seventh IEEE International Conference on Data Mining (ICDM 2007), ► pp. 332 ff.
Wang, Pu, Jian Hu, Hua-Jun Zeng & Zheng Chen
2009. Using Wikipedia knowledge to improve text classification. Knowledge and Information Systems 19:3 ► pp. 265 ff.
Zhang, Wen, Taketoshi Yoshida & Xijin Tang
2008. Text classification based on multi-word with support vector machine. Knowledge-Based Systems 21:8 ► pp. 879 ff.
Zhang, Wen, Taketoshi Yoshida & Xijin Tang
2009. Using ontology to improve precision of terminology extraction from documents. Expert Systems with Applications 36:5 ► pp. 9333 ff.
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