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TitleStatusHype
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers—0
RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)—0
RDoC Task at BioNLP-OST 2019—0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines—0
Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model—0
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation—0
Realistic Image Generation using Region-phrase Attention—0
Realization of long sentences using chunking—0
Realizing Universal Dependencies Structures—0
RealText-asg: A Model to Present Answers Utilizing the Linguistic Structure of Source Question—0
Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction—0
Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence—0
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity—0
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering—0
Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network—0
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog—0
Attribution in Scientific Literature: New Benchmark and Methods—0
RE: A Study for Restorable Embeddings—0
Recipe Generation from Unsegmented Cooking Videos—0
Recognition Method of Important Words in Korean Text based on Reinforcement Learning—0
Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers—0
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management—0
Recognizing Complex Entity Mentions: A Review and Future Directions—0
Recognizing Extended Spatiotemporal Expressions by Actively Trained Average Perceptron Ensembles—0
Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies—0
Recognizing Sentence-level Logical Document Structures with the Help of Context-free Grammars—0
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study—0
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study—0
Reconsidering Sentence-Level Sign Language Translation—0
Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning—0
Reconstructing Event Regions for Event Extraction via Graph Attention Networks—0
Reconstruction Attack on Instance Encoding for Language Understanding—0
Record-to-Text Generation with Style Imitation—0
Recovering document annotations for sentence-level bitext—0
Recurrent Convolutional Neural Networks for Discourse Compositionality—0
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization—0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Recurrent Hierarchical Topic-Guided Neural Language Models—0
Recurrent neural network models for disease name recognition using domain invariant features—0
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Recurrent Topic-Transition GAN for Visual Paragraph Generation—0
Recursive Neural Networks Can Learn Logical Semantics—0
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction—0
Recursive Tree Attention: Improving Semantic Representations with Syntactic Tree Structured Attention Mechanism—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Reducing Distant Supervision Noise with Maxpooled Attention and Sentence-Level Supervision—0
Reducing language context confusion for end-to-end code-switching automatic speech recognition—0
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