| IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2 | |
|---|---|
| 學年 | 101 |
| 學期 | 2 |
| 發表日期 | 2013-06-18 |
| 作品名稱 | IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2 |
| 作品名稱(其他語言) | |
| 著者 | Day, Min-Yuh; Tu, Chun; Huang, Shih-Jhen; Vong, Hou-Cheng; Wu, Shih-Wei |
| 作品所屬單位 | 淡江大學資訊管理學系 |
| 出版者 | Tokyo, Japan: National Institute of Informatics |
| 會議名稱 | The 10th NTCIR Conference on Evaluation of Information Access Technologies(NTCIR-10) |
| 會議地點 | Tokyo, Japan |
| 摘要 | In this paper, we describe the IMTKU (Information Management at TamKang University) textual entailment system for recognizing inference in text at NTCIR-10 RITE-2 (Recognizing Inference in Text). We proposed a textual entailment system using a hybrid approach that integrate semantic features and machine learning techniques for recognizing inference in text at NTCIR-10 RITE-2 task. We submitted 3 official runs for BC, MC and RITE4QA subtask. In NTCIR-10 RITE-2 task, IMTKU team achieved 0.509 in the CT-MC subtask, 0.663 in the CT-BC subtask; 0.402 in the CS-MC subtask, 0.627 in the CS-BC subtask; In MRR index, 0.257 in the CT-RITE4QA subtask, 0.338 in the CS-RITE4QA subtask. |
| 關鍵字 | IMTKU;Textual Entailment;Recognizing Textual Entailment in Chinese;Recognizing Inference in TExt (RITE);NTCIR;Hybrid Approach;Machine Learning;Dependency Parser;WordNet |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20130618~20130621 |
| 通訊作者 | Min-Yuh Day |
| 國別 | JPN |
| 公開徵稿 | Y |
| 出版型式 | 電子版 |
| 出處 | Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies(NTCIR-10), pp.462-468 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92544 ) |