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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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