Pairwise classification and support vector machines
Advances in kernel methods
Mining Open Answers in Questionnaire Data
IEEE Intelligent Systems
Conceptual Network Based Courseware Navigation and Web Presentation Mechanisms
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
Trainable question-answering systems
Trainable question-answering systems
Goal-Oriented Platform Based on Knowledge-Point: A New Model of Distance Education System
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Is question answering an acquired skill?
Proceedings of the 13th international conference on World Wide Web
Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines
Pattern Analysis & Applications
Concept extraction from legal cases: the use of a statistic of coincidence
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Toward semantics-based answer pinpointing
HLT '01 Proceedings of the first international conference on Human language technology research
SVM answer selection for open-domain question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
GAPSCORE: finding gene and protein names one word at a time
Bioinformatics
A statistical method for short answer extraction
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Answer mining from on-line documents
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
A simple but powerful automatic term extraction method
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
A comparative study on generalization of semantic roles in FrameNet
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Mining preorder relation between knowledge units from text
Proceedings of the 2010 ACM Symposium on Applied Computing
Mining learning-dependency between knowledge units from text
The VLDB Journal — The International Journal on Very Large Data Bases
Hi-index | 0.00 |
In this paper, we propose a machine learning method to knowledge element extraction from learning resources. First, we build a knowledge element taxonomy containing 25 semantic types. Second, we formalize the knowledge element extraction of single semantic type as binary classification. Finally, we construct the multi-class classification model which can predict the semantic type of knowledge element by merge the results of binary classifiers. We annotate three semantic types in corpus and use them as training data, train the machine learning models. In experiment, we compared three binary classification models: Decision Tree, SVM and Naïve Bayesian. The experimental results show that SVM has better average performance. We employ ECOC method to construct multi-class classification model and use SVM as base binary classifier in the model. Our approach outperforms the baseline in experiment. The experimental results indicate that our approach is effective.