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Neural-based Knowledge Transfer in Natural Language Processing
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Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ...
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Early reading correlates in language impairment (Newbury et al., 2020) ...
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Early reading correlates in language impairment (Newbury et al., 2020) ...
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Language Disparities Related to Maternal Education Emerge by Two Years in a Low-Income Sample
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In: Matern Child Health J (2020)
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Triple Alignment: Congruency of Perceived Preschool Classroom Social Networks Among Teachers, Children, and Researchers
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In: Front Psychol (2020)
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Additional file 1: of Utilization and expenses of outpatient services among tuberculosis patients in three Chinese counties: an observational comparison study ...
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Additional file 1: of Utilization and expenses of outpatient services among tuberculosis patients in three Chinese counties: an observational comparison study ...
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Improving reading comprehension in the primary grades:Mediated effects of a language-focused classroom intervention
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Conditions of Poverty, Parent-Child Interactions, and Toddlers’ Early Language Skills in Low-Income Families
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In: Matern Child Health J (2019)
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Are working memory and behavioral attention equally important for both reading and listening comprehension?:A developmental comparison
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LET’S KNOW! PROXIMAL IMPACTS ON PREKINDERGARTEN THROUGH GRADE 3 STUDENTS’ COMPREHENSION RELATED SKILLS
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In: Faculty Publications, Department of Child, Youth, and Family Studies (2017)
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LET’S KNOW! PROXIMAL IMPACTS ON PREKINDERGARTEN THROUGH GRADE 3 STUDENTS’ COMPREHENSION- RELATED SKILLS
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In: Faculty Publications, Department of Child, Youth, and Family Studies (2017)
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Additional file 1: of Factors that associated with TB patient admission rate and TB inpatient service cost: a cross-sectional study in China ...
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Additional file 1: of Factors that associated with TB patient admission rate and TB inpatient service cost: a cross-sectional study in China ...
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Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge ...
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Abstract:
In this paper, we propose commonsense knowledge enhanced embeddings (KEE) for solving the Pronoun Disambiguation Problems (PDP). The PDP task we investigate in this paper is a complex coreference resolution task which requires the utilization of commonsense knowledge. This task is a standard first round test set in the 2016 Winograd Schema Challenge. In this task, traditional linguistic features that are useful for coreference resolution, e.g. context and gender information, are no longer effective anymore. Therefore, the KEE models are proposed to provide a general framework to make use of commonsense knowledge for solving the PDP problems. Since the PDP task doesn't have training data, the KEE models would be used during the unsupervised feature extraction process. To evaluate the effectiveness of the KEE models, we propose to incorporate various commonsense knowledge bases, including ConceptNet, WordNet, and CauseCom, into the KEE training process. We achieved the best performance by applying the proposed ... : Winograd Schema Challenge, Pronoun Disambiguation Problems, Neural Embedding Methods, Commonsense Knowledge ...
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Keyword:
Artificial Intelligence cs.AI; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1611.04146 https://arxiv.org/abs/1611.04146
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