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Informativeness

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TitleStatusHype
Focus-Constrained Attention Mechanism for CVAE-based Response GenerationCode0
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks—0
Dialogue-adaptive Language Model Pre-training From Quality EstimationCode0
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets—0
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition—0
On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims—0
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak—0
Clustering of Social Media Messages for Humanitarian Aid Response during CrisisCode0
Deep Active Learning by Model Interpretability—0
Deep Active Learning via Open Set RecognitionCode0
Dialogue Policies for Learning Board Games through Multimodal Communication—0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification—0
Foreseeing the Benefits of Incidental SupervisionCode0
Batch Decorrelation for Active Metric LearningCode0
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search—0
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation—0
Critical Values Robust to P-hackingCode0
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect—0
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization—0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)—0
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing—0
Generating Fact Checking Explanations—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—0
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network—0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences—0
Discrete Signal Processing with Set Functions—0
Suggestive Labelling for Medical Image Analysis by Adaptive Latent Space Sampling—0
Communication Efficient Federated Learning over Multiple Access Channels—0
Audio Summarization with Audio Features and Probability Distribution Divergence—0
Unsupervised Pool-Based Active Learning for Linear RegressionCode0
Stochastic Natural Language Generation Using Dependency Information—0
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation—0
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection—0
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards—0
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning—0
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal InteractionCode0
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement—0
Entity Summarization: State of the Art and Future Challenges—0
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation—0
How to make latent factors interpretable by feeding Factorization machines with knowledge graphsCode0
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion AnalysisCode0
HEvAS: Headline Evaluation and Analysis System—0
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries—0
Theory and Evaluation Metrics for Learning Disentangled RepresentationsCode0
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs—0
How Sequence-to-Sequence Models Perceive Language Styles?—0
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource SettingsCode0
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