Genetic Algorithm Classifier System for Semi-Supervised Learning
Real-world datasets often contain large numbers of unlabeled data points, because there is additional cost for obtaining the labels. Semi-supervised learning SSL algorithms use both labeled and unlabeled data points for training that can result in ...
Planning with Multistep Forward Search with Forced Goal-Ordering Constraints
To solve a real-world planning problem with interfering subgoals, it is essential to perform early detection of subgoal dependencies and achieve the subgoals in the correct order. This is also the case for planning problems with forced goal-ordering FGO ...
Attitude Sensing in Text Based on A Compositional Linguistic Approach
In this article, we introduce a compositional linguistic approach for attitude recognition in text. There are several aspects that distinguish our attitude analysis model @AM from other systems. First, our method classifies sentences using fine-grained ...
Using Hashtags to Capture Fine Emotion Categories from Tweets
Detecting emotions in microblogs and social media posts has applications for industry, health, and security. Statistical, supervised automatic methods for emotion detection rely on text that is labeled for emotions, but such data are rare and available ...
Understanding Perceived Trust to Reduce Regret
Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general ...
Undirected Dependency Parsing
Dependency parsers, which are widely used in natural language processing tasks, employ a representation of syntax in which the structure of sentences is expressed in the form of directed links dependencies between their words. In this article, we ...
