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TitleStatusHype
Applying Core Scientific Concepts to Context-Based Citation Recommendation—0
Can Your Uncertainty Scores Detect Hallucinated Entity?—0
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification—0
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations—0
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity—0
Aikyam: A Video Conferencing Utility for Deaf and Dumb—0
connotation_clashers at SemEval-2022 Task 6: The effect of sentiment analysis on sarcasm detection—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder—0
Approaches for Enriching and Improving Textual Knowledge Bases—0
Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language—0
A Novel Way of Identifying Cyber Predators—0
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification—0
Carrier Sentence Selection for Fill-in-the-blank Items—0
CONJR: Conjunctive Sentence Splitter without Parsing—0
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation—0
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding—0
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment—0
Cascading Multiway Attentions for Document-level Sentiment Classification—0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement—0
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model—0
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