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Published in 2020 at "Reading and Writing"
DOI: 10.1007/s11145-020-10024-6
Abstract: Common tests of morphological awareness measure both morphology and syntax by requiring participants to fit words and pseudowords into sentences by adding or removing affixes. We report the results of a study testing a new…
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Keywords:
tests morphological;
morphological awareness;
word;
sentence level ... See more keywords
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Published in 2024 at "Language, speech, and hearing services in schools"
DOI: 10.1044/2023_lshss-23-00056
Abstract: PURPOSE Picture-word writing curriculum-based measures (PW CBM-Ws) are technically sound, formative measures of descriptive, sentence-level writing but cannot estimate underlying linguistic skills. The purpose of this exploratory alternative scoring investigation was to apply metrics from…
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Keywords:
length unit;
mean length;
level writing;
sentence level ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3053917
Abstract: At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions and ideas about events, services, and products. Owing to this rise in the number…
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Keywords:
sentence level;
fuzzy deep;
rate;
learning classifier ... See more keywords
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Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3391833
Abstract: Aspect terms extraction (ATE), a key subtask for aspect-based sentiment analysis, opinion summarization, and topic modeling aims at extracting grammatical elements (nouns, phrases, and adjectives) from user reviews that reveal the discussed features of the…
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Keywords:
word;
sentence level;
sentence;
aspect terms ... See more keywords
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Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3514090
Abstract: In the real chiller fault diagnosis tasks, the training data of target faults is commonly unavailable. This scenario restricts the diagnostic performance of data-driven methods. The existing zero-shot learning-based diagnostic models have conquered this challenge…
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Keywords:
zero shot;
text attributes;
sentence level;
fault ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3142821
Abstract: Previous answer aggregation methods for sentence-level crowdsourcing tasks extract one sentence from a collection of redundant sentences. However, these extractive methods have a drawback in that they ignore the phenomenon of answer complementarity and the…
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Keywords:
answer aggregation;
sentence level;
level crowdsourcing;
sentence ... See more keywords
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Published in 2025 at "Cognitive Science"
DOI: 10.1111/cogs.70092
Abstract: Abstract The majority of research in computational psycholinguistics on sentence processing has focused on word‐by‐word incremental processing within sentences, rather than holistic sentence‐level representations. This study introduces two novel computational approaches for quantifying sentence‐level processing:…
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Keywords:
level metrics;
level;
sentence level;
reading speed ... See more keywords
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Published in 2024 at "Assessment for Effective Intervention"
DOI: 10.1177/15345084241265620
Abstract: Educators and researchers have been interested in supporting sentence-level language comprehension for struggling readers, but it has been challenging to research. To investigate the properties of sentences that might be useful targets for future research…
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Keywords:
comprehension;
language;
sentence level;
level language ... See more keywords
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Published in 2017 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2017.01887
Abstract: The current study used event-related brain potentials (ERPs) and behavioral measures to examine effects of genre awareness on sentence processing and evaluation. We hypothesized that genre awareness modulates effects of genre-typical manipulations. We manipulated instructions…
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Keywords:
sentence level;
level effects;
sentence;
literary genre ... See more keywords
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Published in 2025 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2025.1439577
Abstract: Background The global prevalence of depression has escalated, exacerbated by societal and economic pressures. Current diagnostic methodologies predominantly utilize single-modality data, which, despite the existence of certain multi-modal strategies, often fail to effectively harness the…
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Keywords:
depression;
multi modal;
modal feature;
sentence level ... See more keywords