Yamraj: Binary-class and Multi-class based Textual Entailment System for Japanese (JA) and Chinese Simplified (CS)
Authors | |
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Year of publication | 2014 |
Type | Article in Proceedings |
Conference | Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies |
MU Faculty or unit | |
Citation | |
Web | |
Field | Informatics |
Keywords | textual entailment; information systems; information retrieval; text mining |
Description | The article presents the experiments carried out as part of the participation in Recognizing Inference in TExt and Validation (RITE-VAL) at NTCIR-11 for Japanese. RITE-VAL has two subtasks i.e. Fact Validation and System Validation subtask for Chinese-Simplified (CS), Chinese-Traditional (CT), English (EN), and Japanese (JA) and semantic relation between two texts such as entailment, contradiction, and independence. We have submitted run for Japanese (JA) System Validation (one run BC and one for MC), Chinese Simplified (CS) System Validation (one run). The Textual Entailment system used the web based Google translator system for Machine Translation purpose. The system is based on Support Vector Machine that uses features from lexical similarity, lexical distance, and syntactic similarity. |
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