Titlebook: NII Testbeds and Community for Information Access Research; 14th International C Makoto P. Kato,Yiqun Liu,Charles L. A. Clarke Conference p

發(fā)怨言

Cue-Phrase-Based Text Segmentation and Optimal Segment Concatenation for the NTCIR-14 QA Lab-PoliInf We divided the segmentation subtask into two steps, segmentation and search. Cue phrases were effectively used to detect segment boundaries. We compared five methods for detecting segment boundaries: a rule-based method, three supervised learning methods, and a novel semi-supervised learning method

textile

institute

Team’s Summarization System at the NTCIR-14 QA Lab-PoliInfoeches using random forest classifiers. Since we encountered an imbalance in the data, we were unable to achieve good results in this subtask when training on all data. To solve this problem, we developed a new summarization system that applies multiple random forest classifiers training on different

相反放置

capsaicin

Liability

轉(zhuǎn)折點

THUIR at the NTCIR-14 WWW-2 Taskesults in the WWW-2 task. In the Chinese subtask, we designed and trained two neural ranking models on the Sogou-QCL dataset. In the English subtask, we adopted learning to rank models by training them on MQ2007 and MQ2008 datasets. Our methods achieved the best performances in both Chinese and Engl

屈尊

Aspiration

向外才掩飾