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RTE

Papers

Showing 51–100 of 111 papers

TitleStatusHype
Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies—0
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading—0
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
Can Pre-trained Models Really Generate Single-Step Textual Entailment?—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0—0
Cross-Architecture Distillation Using Bidirectional CMOW Embeddings—0
Robust Temporal Ensembling for Learning with Noisy Labels—0
CT-ICP: Real-time Elastic LiDAR Odometry with Loop ClosureCode1
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence RepresentationsCode1
Finetuned Language Models Are Zero-Shot LearnersCode3
Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds—0
RTE: A Tool for Annotating Relation Triplets from Text—0
Figurative Language in Recognizing Textual EntailmentCode0
Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures—0
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)Code1
Deep Online Correction for Monocular Visual Odometry—0
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference—0
Robust Temporal Ensembling—0
Clustering high dimensional meteorological scenarios: results and performance index—0
A Survey on Recognizing Textual Entailment as an NLP Evaluation—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models—0
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion—0
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingCode1
Uncovering differential equations from data with hidden variables—0
Learning to run a power network challenge for training topology controllers—0
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding—0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
On the Importance of Delexicalization for Fact Verification—0
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language InferenceCode0
Adaptive Prior Selection for Repertoire-based Online Adaptation in RoboticsCode0
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks—0
Neural Network Alignment for Sentential Paraphrases—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
Questions in Dependent Type Semantics—0
Inherent Disagreements in Human Textual Inferences—0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
Neural sentence generation from formal semantics—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?—0
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence InteractionsCode0
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment—0
Acquisition of Phrase Correspondences using Natural Deduction Proofs—0
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning—0
Generating Contradictory, Neutral, and Entailing Sentences—0
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework—0
Introducing machine learning for power system operation support—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
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