excrete 发表于 2025-3-30 10:24:12
http://reply.papertrans.cn/47/4653/465214/465214_51.pngosteoclasts 发表于 2025-3-30 13:40:38
http://reply.papertrans.cn/47/4653/465214/465214_52.pngCommon-Migraine 发表于 2025-3-30 16:58:42
Are Human-Input Seeds Good Enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia hat belongs to the same semantic class. Many previous researches have proved that the quality of seeds can influence expansion performance a lot since human-input seeds may be ambiguous, sparse etc. In this paper, we propose a novel method which can generate new, high-quality seeds and replace origiLimited 发表于 2025-3-31 00:35:18
http://reply.papertrans.cn/47/4653/465214/465214_54.pngSupplement 发表于 2025-3-31 01:07:39
http://reply.papertrans.cn/47/4653/465214/465214_55.png指令 发表于 2025-3-31 05:27:09
http://reply.papertrans.cn/47/4653/465214/465214_56.png我们的面粉 发表于 2025-3-31 10:30:22
http://reply.papertrans.cn/47/4653/465214/465214_57.png无力更进 发表于 2025-3-31 13:27:14
Detecting Informative Messages Based on User History in Twitterto find out valuable messages from huge data archived every moment. This paper investigates the problem of detecting informative messages in Twitter, and proposes effective methods to solve the problem based on User History. Most of the sheer information in tweets has a common defect which is the fa良心 发表于 2025-3-31 21:26:41
A Study on Potential Head Advertisers in Sponsored Searchem into head and tail advertisers according to their contributions to the search engine revenue. Data analysis shows that some tail advertisers have large amount of budgets and low budget usage ratios, who aimed to achieve the planned campaign goals (e.g., a large number of clicks), but they finally拾落穗 发表于 2025-4-1 01:24:08
Feature Transformation Method Enhanced Vandalism Detection in Wikipediae edits greatly undermine the quality of Wikipedia. Their irresponsible acts force editors to waste time undoing vandalisms. For the purpose of improving information quality on Wikipedia and freeing the maintainer from such repetitive tasks, machine learning methods have been proposed to detect vand