Charitable
发表于 2025-3-25 03:35:33
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objection
发表于 2025-3-25 09:34:00
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逃避责任
发表于 2025-3-25 12:51:15
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TIA742
发表于 2025-3-25 16:11:45
Distinguishing Specific and Daily Topicst event coreference resolution. In this paper, we investigate several numeric features that describe useful statistical information for this task, and propose a novel Bayesian model for distinguishing specific and daily topics from a collection of documents based on documents’ content. The proposed
Assignment
发表于 2025-3-25 22:49:57
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组装
发表于 2025-3-26 02:07:09
Sentiment Word Identification with Sentiment Contextual Factorss a critical component of sentiment analysis technologies. Traditional sentiment word identification techniques become unqualified because they need seed sentiment words which leads to low robustness. In this paper, we consider SWI as a matrix factorization problem and propose three models for it. I
CLAN
发表于 2025-3-26 05:07:39
Discovering Restricted Regular Expressions with Interleavingan unordered schema from a given set of XML examples, which is actually a problem of learning a restricted regular expression with interleaving using positive example strings. Schemas with interleaving could present meaningful knowledge that cannot be disclosed by previous inference techniques. More
Absenteeism
发表于 2025-3-26 12:15:23
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陪审团
发表于 2025-3-26 15:44:42
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Parallel
发表于 2025-3-26 17:38:00
A Co-ranking Framework to Select Optimal Seed Set for Influence Maximization in Heterogeneous Networls in viral marketing, which has attracted increasing attention in both academia and industry. Most recent algorithms of influence maximization have demonstrated remarkable successes, however their applications are limited to homogeneous networks. In this paper, we formulate the problem of influence