An Evaluation of Techniques for Classification of Conditional Sentences and Their Structural Componentsdoi:10.1007/978-981-19-1607-6_3Conditional statements are an important part of procedural knowledge as they determine the decision points in the control flow. In order to bootstrap conversation bots ...
Three experiments are reported in which readers' comprehension of these verbs was examined using a meaning-classification paradigm. Active themeexperiencer sentences were read for longer than actives containing the other verb types. By contrast, passive theme-experiencer sentences resulted in fewer ...
A topic sentence-based instance transfer method for imbalanced sentiment classification of Chinese product reviews The increasing interest in sentiment classification of product reviews is due to its potential application for improving e-commerce services and quality of... Feng Tian a b,Fan Wu a b,...
Moreover, they are applicable to a much wider class of machine learning tasks: node classification algorithms train a model to learn in which class a node of the graph belongs to. Bot detection is a specific example of this class of problems in which a binary classification is performed (nod...
Translations of "structural soil types" into Chinese in sentences, translation memory Declension Stem Match words all exact any The hydrogeological investigation is based on a multidisciplinary data-layer analysis that includes geomorphology, geology, slope, drainage lines, soil type, structural lineam...
We report three experiments, based on test sentences read aloud, on the influence of sentence position and phonological vowel length on the alignment of accent-related f0 peaks in Scottish Standard English (SSE) and Southern British English (RP). One experiment deals with prenuclear accent peaks ...
Classification of certain words appears to be without explanation (Dixon 1972: 310). Thus, "dog", "platypus", "bandicoot", and "echidna" are classi-fied as Class II, and not Class I as their animateness predicts. Although the explanation is unknown today, it is possible that there was ...
Learning a language model from a network was first proposed by DeepWalk [ 16 ]. It uses random walks to generate sequences of nodes from the network, which are then treated as sentences by Skip-Gram. node2vec Intuitively, nodes close in the network will tend to have similar contexts (sequ...
As a fundamental task of sentiment analysis, document level sentiment classification aims to predict user's overall sentiment (e.g., positive or negative) towards the target in a document. The document usually consists of various opinion sentences towards different aspects with different sentiments. ...
detect the divergence between the sample sequence and reference at a per read level first. In contrast, deep learning approaches such as convolutional neural networks (CNNs) transform variant detection as a classification problem by considering the BAM file or its genomic regions as an image [100...