发怨言 发表于 2025-3-25 06:30:14
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 methodtextile 发表于 2025-3-25 08:55:30
http://reply.papertrans.cn/67/6602/660144/660144_22.pnginstitute 发表于 2025-3-25 12:18:08
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 发表于 2025-3-25 17:41:44
http://reply.papertrans.cn/67/6602/660144/660144_24.pngcapsaicin 发表于 2025-3-25 21:29:09
http://reply.papertrans.cn/67/6602/660144/660144_25.pngLiability 发表于 2025-3-26 02:28:33
http://reply.papertrans.cn/67/6602/660144/660144_26.png转折点 发表于 2025-3-26 06:30:47
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 发表于 2025-3-26 11:15:50
http://reply.papertrans.cn/67/6602/660144/660144_28.pngAspiration 发表于 2025-3-26 16:07:11
http://reply.papertrans.cn/67/6602/660144/660144_29.png向外才掩饰 发表于 2025-3-26 16:57:05
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