A Bayesian approach is presented for model-based classification of images with application to synthetic-aperture radar. Posterior probabilities are computed for candidate hypotheses using physical features estimated from sensor data along with features predicted from these hypotheses. The likelihood scoring allows propagation of uncertainty arising in both the sensor data and object models. The...

Vector representations for language have been shown to be useful in a number of Natural Language Processing (NLP) tasks. In this thesis, we aim to investigate the effectiveness of word vector representations for the research problem of Aspect-Based Sentiment Analysis (ABSA), which attempts to capture both semantic and sentiment information encoded in user generated content such as product revie...

Shape is an important aspects in recognizing plants. Several approaches have been introduced to identify objects, including plants. Combination of geometric features such as aspect ratio, compactness, and dispersion, or moments such as moment invariants were usually used toidentify plants. In this research, a comparative experiment of 4 methods to identify plants using shape features was accomp...

This paper presents AspectOptima, a language independent, aspect-oriented framework consisting of a set of ten base aspects — each one providing a well-defined reusable functionality — that can be configured to ensure the ACID properties (Atomicity, Consistency, Isolation, and Durability) for transactional objects. The overall goal of AspectOptima is to serve as a case study for aspect-oriented...

This work describes the implementation of a meta-modeling approach to morphologically marked tense and aspect within the LinGO Grammar Matrix customization system. The Matrix customization system creates a small hpsg grammar for a language based on answers to questions about particular linguistic phenomena. In the original system, these answers indicated a choice of pre-determined analyses of t...

Aerospace) Nonlinear Aeroelastic Analysis of Flexible High Aspect Ratio Wings Including Correlation With Experiment by Justin W. Jaworski Department of Mechanical Engineering and Materials Science Duke University

This work analyses various syntactic and lexical features for sentence level aspect based sentiment analysis. The task focuses on detection of a writer’s sentiment towards an aspect which is explicitly mentioned in a sentence. The target sentiment polarities are positive, negative, conflict and neutral. We use a supervised learning approach, evaluate various features and report accuracies which...

This paper describes our system for generating Chinese aspect expressions. In the system, the semantics of different aspects is characterized by specific temporal and conceptual features. The semantic applicability conditions of each individual aspect are theoretically represented by an aspect selection function (ASF). The generation is realized by evaluating implemented inquiries which formall...