Titlebook: Web Technologies and Applications; 17th Asia-Pacific We Reynold Cheng,Bin Cui,Jia Xu Conference proceedings 2015 Springer International Pub

Charitable

objection

逃避責(zé)任

TIA742

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

組裝

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

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

陪審團(tuán)

Parallel

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