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Showing 1901–1950 of 3487 papers

TitleStatusHype
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes—0
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction—0
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task—0
Discriminative Entropy Clustering and its Relation to K-means and SVM—0
Revisiting Distant Supervision for Relation Extraction—0
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes—0
Rethinking Relation Classification with Graph Meaning Representations—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Revisiting Relation Extraction in the era of Large Language Models—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning—0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
Robust and Interpretable Grounding of Spatial References with Relation Networks—0
Robust Domain Adaptation for Relation Extraction via Clustering Consistency—0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
Robust market-adjusted systemic risk measures—0
Robust Ordinal Regression for Subsets Comparisons with Interactions—0
Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification—0
Robust Stutter Bisimulation for Abstraction and Controller Synthesis with Disturbance: Proofs—0
Robust Video Super-Resolution With Learned Temporal Dynamics—0
Rooting capacity of hardwood cuttings of some fruit trees in relation to cutting pattern—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion—0
Rough Contact in General Rough Mereology—0
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection—0
RSGT: Relational Structure Guided Temporal Relation Extraction—0
RTE: A Tool for Annotating Relation Triplets from Text—0
RTF: Region-based Table Filling Method for Relational Triple Extraction—0
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding—0
Safety, in Numbers—0
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN—0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling—0
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning—0
Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILM—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection—0
SCHN\"APPER: A Web Toolkit for Exploratory Relation Extraction—0
Scientific and Technological News Recommendation Based on Knowledge Graph with User Perception—0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings—0
SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification—0
Seed Selection for Distantly Supervised Web-Based Relation Extraction—0
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction—0
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
Self-Crowdsourcing Training for Relation Extraction—0
Self-Organized Criticality Explains Readiness Potential—0
Self-supervised Facial Action Unit Detection with Region and Relation Learning—0
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