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Hits 61 – 80 of 1.464

61
Levi Graph AMR Parser using Heterogeneous Attention ...
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62
Structure-Augmented Keyphrase Generation ...
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63
OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack ...
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64
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ...
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65
CLIPScore: A Reference-free Evaluation Metric for Image Captioning ...
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66
SituatedQA: Incorporating Extra-Linguistic Contexts into QA ...
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67
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ...
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68
Revising the Scope of Linguistic Relativity: Language Influences Perception in Non-linguistic Tasks ...
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69
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ...
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70
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases ...
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71
Challenges in Automated Debiasing for Toxic Language Detection ...
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72
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks ...
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73
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ...
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74
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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75
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021
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76
Outcome of cochlear implantation in the worse ear of post-lingual asymmetric hearing loss: elucidation of prognostic markers ...
Sang-Youp Lee; Goun Choe; Sang-Yeon Lee. - : Taylor & Francis, 2021
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77
Outcome of cochlear implantation in the worse ear of post-lingual asymmetric hearing loss: elucidation of prognostic markers ...
Sang-Youp Lee; Goun Choe; Sang-Yeon Lee. - : Taylor & Francis, 2021
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78
sensorimotor influences on speech perception ...
Choi, Dawoon. - : Open Science Framework, 2021
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79
Improved Text Summarization of News Articles Using GA-HC and PSO-HC
In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
Abstract: Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news websites and blog websites. Manual summarization is time consuming, and it is difficult to read and summarize a large amount of content. Automatic text summarization is the solution to deal with this problem. This study proposed two automatic text summarization models which are Genetic Algorithm with Hierarchical Clustering (GA-HC) and Particle Swarm Optimization with Hierarchical Clustering (PSO-HC). The proposed models use a word embedding model with Hierarchal Clustering Algorithm to group sentences conveying almost same meaning. Modified GA and adaptive PSO based sentence ranking models are proposed for text summary in news text documents. Simulations are conducted and compared with other understudied algorithms to evaluate the performance of proposed methodology. Simulations results validate the superior performance of the proposed methodology.
Keyword: agglomerative clustering; Automatic Text Summarization (ATS); extracted summary; genetic algorithm; Hierarchical Clustering Technique (HCT); Single Document Summarization
URL: https://doi.org/10.3390/app112210511
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80
The Effect of Mechanical Tongue Cleaning on Oral Malodor and Tongue Coating
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 1; Pages: 108 (2021)
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