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Source or target first? Comparison of two post-editing strategies with translation students
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In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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Rapport et Bilan Scientifique - 2e Symposium sur la Politique Linguistique Familiale 2021
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In: https://hal-inalco.archives-ouvertes.fr/hal-03525635 ; [Rapport de recherche] INALCO, Sorbonne Paris-Cité (SPC). 2022 (2022)
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Выявление транснациональных преступлений как направление уголовной политики Российской Федерации ... : Detection of transnational crimes as a direction of criminal policy of Russian Federation ...
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英語聽力策略與學習成效 ; Implementing Listening Strategies in EFL Classrooms
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Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
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СТРАТЕГИИ ПЕРЕВОДА ЛЕКСИЧЕСКИХ ЛАКУН НА РУССКИЙ ЯЗЫК И ИХ ПРИМЕНЕНИЕ В ТУРИСТИЧЕСКОЙ СФЕРЕ КИТАЯ ... : STRATEGIES FOR TRANSLATING LEXICAL LACUNAE INTO RUSSIAN ...
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Гао Иньфэн. - : Мир науки, культуры, образования, 2022
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СТРАТЕГИЯ МАРКИРОВАНИЯ КОМПАРАТИВНОЙ СЕМАНТИКИ В ТУВИНСКИХ ТЕКСТАХ ... : STRATEGY FOR MARKING COMPARATIVE SEMANTICS IN TUVA TEXTS ...
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Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
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A Dynamic Attention and Multi-Strategy-Matching Neural Network Based on Bert for Chinese Rice-Related Answer Selection
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In: Agriculture; Volume 12; Issue 2; Pages: 176 (2022)
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Abstract:
To allow the intelligent detection of correct answers in the rice-related question-and-answer (Q&A) communities of the “China Agricultural Technology Extension Information Platform”, we propose an answer selection model with dynamic attention and multi-strategy matching (DAMM). According to the characteristics of the rice-related dataset, the twelve-layer Chinese Bert pre-training model was employed to vectorize the text data and was compared with Word2vec, GloVe, and TF-IDF (Term Frequency–Inverse Document Frequency) methods. It was concluded that Bert could effectively solve the agricultural text’s high dimensionality and sparsity problems. As well as the problem of polysemy having different meanings in different contexts, dynamic attention with two different filtering strategies was used in the attention layer to effectively remove the sentence’s noise. The sentence representation of question-and-answer sentences was obtained. Secondly, two matching strategies (Full matching and Attentive matching) were introduced in the matching layer to complete the interaction between sentence vectors. Thirdly, a bi-directional gated recurrent unit (BiGRU) network spliced the sentence vectors obtained from the matching layer. Finally, a classifier was employed to calculate the similarity of splicing vectors, and the semantic correlation between question-and-answer sentences was acquired. The experimental results showed that DAMM had the best performance in the rice-related answer selection dataset compared with the other six answer selection models, of which MAP (Mean Average Precision) and MRR (Mean Reciprocal Rank) of DAMM gained 85.7% and 88.9%, respectively. Compared with the other six kinds of answer selection models, we present a new state-of-the-art method with the rice-related answer selection dataset.
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Keyword:
dynamic attention and multi-strategy; natural language processing; question-and-answer communities; rice-related answer selection
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URL: https://doi.org/10.3390/agriculture12020176
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ポライトネス・ストラテジーとしての書面語表現 : レアリアによる中国語教育の一環として(6) ; A Study on Written Expressions as Politeness Strategies in Chinese Language
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MULTI-STRATEGY SENTIMENT ANALYSIS OF CONSUMER REVIEWS WITH PARTIAL PHRASE MATCHING ...
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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MULTI-STRATEGY SENTIMENT ANALYSIS OF CONSUMER REVIEWS WITH PARTIAL PHRASE MATCHING ...
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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Rapport et Bilan Scientifique - 2e Symposium sur la Politique Linguistique Familiale 2021
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In: https://hal-inalco.archives-ouvertes.fr/hal-03525635 ; [Rapport de recherche] INALCO, Sorbonne Paris-Cité (SPC). 2022 (2022)
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Pivoting Strategies: A Study of Pivot Severity, Investor Reliance, and Revenue among Startups
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