We compared Finnish adults' and children's eye movements on long (8-letter) and short (4-letter) target words embedded in sentences, presented either normally or as disappearing text. When reading disappearing text, where refixations did not provide new information, the 8- to 9-year-old children made fewer refixations but more regressions back to long words compared to when reading normal text....

this article has long been taken of the description and clarification of dramatic signs as well as the structure of the small book entitled draxt ? ?s?r?g “the babylonian tree” (here after bt); a text having comparatively long history in iranian studies which have been interpreted in different ways, by previous scholars. bt is a versified contest between a goat and a palm tree, originally compo...

In order to solve the current problems in domain long text classification tasks, namely, length of a document, which makes it difficult for model capture key information, and lack expert knowledge, leads insufficient accuracy, based on knowledge graph convolutional neural network is proposed. BERT used encode text, each word’s corresponding vector as node so that initialized contains rich seman...

<span lang="EN-US">Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ability learn long-term dependencies. The present research integrates the LSTM dropout technique generate from corpus as input, model developed find be...

Multi-label text classification (MLTC) involves tagging a document with its most relevant subset of labels from label set. In real applications, usually follow long-tailed distribution, where (called as tail-label) only contain small number documents and limit the performance MLTC. To facilitate this low-resource problem, researchers introduced simple but effective strategy, data augmentation (...

Multi-label text classification (MLTC) aims to annotate documents with the most relevant labels from a number of candidate labels. In real applications, distribution label frequency often exhibits long tail, i.e., few are associated large (a.k.a. head labels), while fraction small tail labels). To address challenge insufficient training data on classification, we propose Head-to-Tail Network (H...

A search is presented for massive long-lived particles, in the 20-60 [Formula: see text] mass range with lifetimes between 5 and 100 [Formula: see text]. The dataset used corresponds to 0.62[Formula: see text] of proton-proton collision data collected by the LHCb detector at [Formula: see text]. The particles are assumed to be pair-produced by the decay of a Higgs-like boson with mass between 8...