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| 41 |
Failures of Gricean reasoning and the role of stereotypes in the production of gender marking in French
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 50 ; 2397-1835 (2021)
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| 42 |
APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
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Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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| 44 |
Testing the Foreign Language Effect on Cognitive Reflection in Older Adults
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In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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| 45 |
Semantic Reasoning of Product Biologically Inspired Design Based on BERT
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In: Applied Sciences; Volume 11; Issue 24; Pages: 12082 (2021)
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| 46 |
Essential Features in a Theory of Context for Enabling Artificial General Intelligence
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In: Applied Sciences; Volume 11; Issue 24; Pages: 11991 (2021)
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| 47 |
A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning
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In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
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Abstract:
To address the problem of poor semantic reasoning of models in multiple-choice Chinese machine reading comprehension (MRC), this paper proposes an MRC model incorporating multi-granularity semantic reasoning. In this work, we firstly encode articles, questions and candidates to extract global reasoning information ; secondly, we use multiple convolution kernels of different sizes to convolve and maximize pooling of the BERT-encoded articles, questions and candidates to extract local semantic reasoning information of different granularities ; we then fuse the global information with the local multi-granularity information and use it to make an answer selection. The proposed model can combine the learned multi-granularity semantic information for reasoning, solving the problem of poor semantic reasoning ability of the model, and thus can improve the reasoning ability of machine reading comprehension. The experiments show that the proposed model achieves better performance on the C3 dataset than the benchmark model in semantic reasoning, which verifies the effectiveness of the proposed model in semantic reasoning.
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Keyword:
machine reading comprehension; natural language processing; pre-training model; semantic reasoning
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URL: https://doi.org/10.3390/app11177945
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| 48 |
Comparative Analysis of Reasoning in Russian Classic Poetry
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In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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| 49 |
Language and Reasoning by Entropy Fractals
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In: Signals ; Volume 2 ; Issue 4 ; Pages 44-770 (2021)
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| 50 |
Inferential Reasoning of Secondary School Mathematics Teachers on the Chi-Square Statistic
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In: Mathematics ; Volume 9 ; Issue 19 (2021)
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| 51 |
Discovering Geometric Inequalities: The Concourse of GeoGebra Discovery, Dynamic Coloring and Maple Tools
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In: Mathematics ; Volume 9 ; Issue 20 (2021)
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| 52 |
Clinical Reasoning Needs to Be Explicitly Addressed in Health Professions Curricula: Recommendations from a European Consortium
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 21 (2021)
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| 53 |
Preservice Secondary Mathematics Teachers’ Conceptions of Counterexample
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In: Georgia Educational Research Association Conference (2021)
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| 54 |
Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval ...
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| 55 |
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case ...
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| 56 |
An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology ...
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| 57 |
Management of case with aphasia by three track reasoning ...
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| 58 |
Management of case with aphasia by three track reasoning ...
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| 59 |
Dynamic Assessment of receptive vocabulary and phonology of preschool children with German as a second language
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| 60 |
A aprendizagem acadêmica estruturada em domínios da leitura, escrita e aritmética para alunos com dificuldades na aprendizagem
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