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Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech ...
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Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram ...
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Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion ...
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Bayes-enhanced Lifelong Attention Networks for Sentiment Classification ...
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Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel
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Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel
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In: Sci Rep (2020)
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Additional file 1: of A multiplex PCR for differential detection of Echinococcus granulosus sensu stricto, Echinococcus multilocularis and Echinococcus canadensis in China ...
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Additional file 1: of A multiplex PCR for differential detection of Echinococcus granulosus sensu stricto, Echinococcus multilocularis and Echinococcus canadensis in China ...
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Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts ...
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Abstract:
State-of-the-art methods for relation extraction consider the sentential context by modeling the entire sentence. However, syntactic indicators, certain phrases or words like prepositions that are more informative than other words and may be beneficial for identifying semantic relations. Other approaches using fixed text triggers capture such information but ignore the lexical diversity. To leverage both syntactic indicators and sentential contexts, we propose an indicator-aware approach for relation extraction. Firstly, we extract syntactic indicators under the guidance of syntactic knowledge. Then we construct a neural network to incorporate both syntactic indicators and the entire sentences into better relation representations. By this way, the proposed model alleviates the impact of noisy information from entire sentences and breaks the limit of text triggers. Experiments on the SemEval-2010 Task 8 benchmark dataset show that our model significantly outperforms the state-of-the-art methods. ... : Accepted at ICTAI 2019: The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1912.01858 https://dx.doi.org/10.48550/arxiv.1912.01858
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Reduced Semantic Control in Older Adults is Linked to Intrinsic DMN Connectivity
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Reduced semantic control in older adults is linked to intrinsic DMN connectivity
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Patterns of thought: population variation in the associations between large-scale network organisation and self-reported experiences at rest
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-01782292 ; NeuroImage, Elsevier, 2018 (2018)
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Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-01546394 ; NeuroImage, Elsevier, 2017, pp.34. ⟨10.1016/j.neuroimage.2017.06.067⟩ (2017)
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Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour
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Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour
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Altered Volume and Functional Connectivity of the Habenula in Schizophrenia
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Acquisition of functional categories ...
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Wang, Hao. - : University of Southern California Digital Library (USC.DL), 2015
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A System for Extracting Sentiment from Large-Scale Arabic Social Data ...
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