SOTAVerified

Informativeness

Papers

Showing 551600 of 735 papers

TitleStatusHype
Dialogue Policies for Learning Board Games through Multimodal Communication0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification0
Graph Prototypical Networks for Few-shot Learning on Attributed NetworksCode1
Foreseeing the Benefits of Incidental SupervisionCode0
Batch Decorrelation for Active Metric LearningCode0
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search0
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation0
Critical Values Robust to P-hackingCode0
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect0
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization0
A Controllable Model of Grounded Response GenerationCode1
Few-Shot Learning for Opinion SummarizationCode1
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking ConversationsCode1
Capturing Global Informativeness in Open Domain Keyphrase ExtractionCode1
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)0
Generating Fact Checking Explanations0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming0
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling0
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network0
A Theory of Usable Information Under Computational ConstraintsCode1
Distributional Sliced-Wasserstein and Applications to Generative ModelingCode1
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 Preferences0
Syntactically Look-Ahead Attention Network for Sentence CompressionCode1
Discrete Signal Processing with Set Functions0
Suggestive Labelling for Medical Image Analysis by Adaptive Latent Space Sampling0
Communication Efficient Federated Learning over Multiple Access Channels0
Audio Summarization with Audio Features and Probability Distribution Divergence0
Unsupervised Pool-Based Active Learning for Linear RegressionCode0
Stochastic Natural Language Generation Using Dependency Information0
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation0
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection0
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards0
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning0
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal InteractionCode0
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement0
Entity Summarization: State of the Art and Future Challenges0
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation0
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
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries0
HEvAS: Headline Evaluation and Analysis System0
Theory and Evaluation Metrics for Learning Disentangled RepresentationsCode0
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs0
How Sequence-to-Sequence Models Perceive Language Styles?0
Contrastive Reasons Detection and Clustering from Online Polarized Debate0
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource SettingsCode0
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