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DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models ...
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Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification ...
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Abstract:
We tackle implicit discourse relation classification, a task of automatically determining semantic relationships between arguments. The attention-worthy words in arguments are crucial clues for classifying the discourse relations. Attention mechanisms have been proven effective in highlighting attention-worthy words during encoding. However, our survey shows that some inessential words are unintentionally misjudged as attention-worthy words and, therefore, assigned heavier attention weights than should be. We propose a penalty-based loss re-estimation method to regulate the attention learning process, integrating penalty coefficients into the computation of loss by means of overstability of attention weight distributions. We conduct experiments on the Penn Discourse TreeBank (PDTB) corpus. The test results show that our loss re-estimation method leads to substantial improvements for a variety of attention mechanisms, and it obtains highly competitive performance compared to the state-of-the-art methods. ...
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Keyword:
Computer and Information Science; Natural Language Processing; Neural Network
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URL: https://underline.io/lecture/6381-using-a-penalty-based-loss-re-estimation-method-to-improve-implicit-discourse-relation-classification https://dx.doi.org/10.48448/28qv-vd23
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Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition ...
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Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
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In: Sensors (Basel) (2020)
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Identification of risk factors for poor language outcome in surgical resection of glioma involving the arcuate fasciculus: an observational study
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In: Neural Regen Res (2020)
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A representação da cultura e da identidade brasileira em mauais de PLE
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Selecting an outsourcing provider based on the combined MABAC–ELECTRE method using single-valued neutrosophic linguistic sets ...
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Selecting an outsourcing provider based on the combined MABAC–ELECTRE method using single-valued neutrosophic linguistic sets ...
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Simplified Neutrosophic Linguistic NormalizedWeighted Bonferroni Mean Operator and Its Application to Multi-Criteria Decision-Making Problems ...
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Simplified Neutrosophic Linguistic NormalizedWeighted Bonferroni Mean Operator and Its Application to Multi-Criteria Decision-Making Problems ...
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Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model ...
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Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model ...
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Multi-Criteria Decision-Making Method Based On Simplified Neutrosophic Linguistic Information With Cloud Model ...
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Multi-Criteria Decision-Making Method Based On Simplified Neutrosophic Linguistic Information With Cloud Model ...
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A Novel Selection Model of Surgical Treatments for Early Gastric Cancer Patients Based on Heterogeneous Multicriteria Group Decision-Making
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In: Symmetry ; Volume 10 ; Issue 6 (2018)
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Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model
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In: Symmetry ; Volume 10 ; Issue 6 (2018)
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Multi-Criteria Decision-Making Based On Generalized Prioritized Aggregation Operators Under Simplified Neutrosophic Uncertain Linguistic Environment ...
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Multi-Criteria Decision-Making Based On Generalized Prioritized Aggregation Operators Under Simplified Neutrosophic Uncertain Linguistic Environment ...
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