Detecting causality from online psychiatric texts using inter-sentential...
AbstractBackgroundOnline psychiatric texts are natural language texts expressing depressive problems, published by Internet users via community-based web services such as web forums, message boards and...
View ArticleA Cloud-Based Chinese Web 5-Gram Query System
AbstractThis paper presents a cloud-based Chinese language query system which provides n-gram and skip n-gram frequencies retrieved from the Chinese Web 5-gram corpus. Language learners can learn...
View ArticleWho will pass? Analyzing learner behaviors in MOOCs
AbstractMassive open online courses (MOOCs) have recently gained worldwide attention from educational institutes. MOOCs provide a new option for learning, yet measurable learning benefits of MOOCs...
View ArticleAgent-based fuzzy constraint-directed negotiation for service level...
AbstractEstablishing a service level agreement (SLA) between a cloud provider and a cloud consumer is becoming increasingly critical: consumers expect a specified quality of service (QoS) for their...
View ArticleContext Analysis for Computer-Assisted Near-Synonym Learning
AbstractDespite their similar meanings, near-synonyms may have different usages in different contexts. For second-language learners, such differences are not easily grasped in practical use. This...
View ArticleUsing an analogical reasoning framework to infer language patterns for...
AbstractBackgroundFeelings of depression can be caused by negative life events (NLE) such as the death of a family member, a quarrel with one’s spouse, job loss, or strong criticism from an authority...
View ArticleA Two-Dimensional Sentiment Analysis of Online Public Opinion and Future...
AbstractBased on a two-dimensional valence-arousal sentiment evaluation method, we used the sentiment extracted from the text of online news media and stock forums to predict future financial...
View ArticleAutomated Answer Type Recognition for Primary School Students’ Question...
AbstractAnswer type recognition (ATR) can improve the precision rate of answer extraction, giving it an important role in question answering systems. Experiments on ATR in the study presented in this...
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