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@inproceedings{1212777, author = {Pakray, Partha}, address = {Tokyo}, booktitle = {Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies}, editor = {Noriko Kando, Hideo Joho, Kazuaki Kishida}, keywords = {textual entailment; information systems; information retrieval; text mining}, howpublished = {paměťový nosič}, language = {eng}, location = {Tokyo}, isbn = {978-4-86049-065-2}, note = {ntcir-11 rite-val core task}, pages = {298-303}, publisher = {National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan}, title = {Yamraj: Binary-class and Multi-class based Textual Entailment System for Japanese (JA) and Chinese Simplified (CS)}, url = {http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/15-NTCIR11-RITEVAL-PakrayP.pdf}, year = {2014} }
TY - JOUR ID - 1212777 AU - Pakray, Partha PY - 2014 TI - Yamraj: Binary-class and Multi-class based Textual Entailment System for Japanese (JA) and Chinese Simplified (CS) PB - National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan CY - Tokyo SN - 9784860490652 N1 - ntcir-11 rite-val core task KW - textual entailment KW - information systems KW - information retrieval KW - text mining UR - http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/15-NTCIR11-RITEVAL-PakrayP.pdf L2 - http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/RITEVAL/15-NTCIR11-RITEVAL-PakrayP.pdf N2 - 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. ER -
PAKRAY, Partha. Yamraj: Binary-class and Multi-class based Textual Entailment System for Japanese (JA) and Chinese Simplified (CS). In Noriko Kando, Hideo Joho, Kazuaki Kishida. \textit{Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies}. Tokyo: National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan, 2014, s.~298-303. ISBN~978-4-86049-065-2.
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