Large-scale semantic indexing of biomedical publications at BioASQ

CEUR Workshop Proceedings

Volumn 1094, Issue , 2013, Pages

  Tsoumakas, Grigorios ^a   Laliotis, Manos ^b   Markantonatos, Nikos ^c   Vlahavas, Ioannis ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b Atypon   (United States)

^c Atypon Hellas ^*  (Greece)

Author keywords

Biomedical litera ture; Multi label learning; Semantic indexing; Text mining

Indexed keywords

DATA MINING; DIGITAL LIBRARIES; INDEXING (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS;

BIOMEDICAL LITERA-TURE; EUROPEAN PROJECT; HIERARCHICAL STRUCTURES; MULTI-LABEL LEARNING; SCIENTIFIC PUBLICATIONS; SEMANTIC INDEXING; TEXT MINING; TRAINING EXAMPLE;

SEMANTICS;

EID: 84923116996     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In Maimon, O., Rokach, L., eds.: Data Mining and Knowledge Discovery Handbook. 2nd edn. Springer (2010) 667-685.
2. Tang, L., Rajan, S., Narayanan, V.K.: Large scale multi-label classification via metalabeler. In: WWW '09: Proceedings of the 18th international conference on World wide web, New York, NY, USA, ACM (2009) 211-220.
3. Ioannou, M., Sakkas, G., Tsoumakas, G., Vlahavas, I.: Obtaining bipartitions from score vectors for multi-label classification. In: 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010), Los Alamitos, CA, USA, IEEE Computer Society (2010) 409-416.
4. Yang, Y.: A study of thresholding strategies for text categorization. In: SIGIR '01: Proceedings of the 24th annual international ACM SIGIR conference, New York, NY, USA, ACM (2001) 137-145.
5. Fan, R.E., Lin, C.J.: A study on threshold selection for multi-label classification. Technical report, National Taiwan University (2007).
6. Sun, A., Lim, E.P., Liu, Y.: On strategies for imbalanced text classification using svm: A comparative study. Decison Support Systems 48(1) (2009) 191-201.
7. Tao, D., Tang, X., Li, X., Wu, X.: Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. Pattern Analysis and Machine Intelligence, IEEE Transactions on 28(7) (2006) 1088-1099.
8. Forman, G.: BNS feature scaling: An improved representation over tf-idf for svm text classification. In: Proceedings of the 17th ACM conference on Information and knowledge management. CIKM '08, New York, NY, USA, ACM (2008) 263-270.
9. Kosmopoulos, A., Partalas, I., Gaussier, E., Paliouras, G., Androutsopoulos, I.: Evaluation measures for hierarchical classification: A unified view and novel approaches (2013).
10. Xioufis, E.S., Spiliopoulou, M., Tsoumakas, G., Vlahavas, I.P.: Dealing with concept drift and class imbalance in multi-label stream classification. In Walsh, T., ed.: IJCAI, IJCAI/AAAI (2011) 1583-1588.