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TitleStatusHype
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue—0
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks—0
Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation—0
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
Unsupervised Dependency Graph Network—0
Evaluating Metrics for Bias in Word Embeddings—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Exploiting All Samples in Low-Resource Sentence Classification: Early Stopping and Initialization ParametersCode0
Variation and generality in encoding of syntactic anomaly information in sentence embeddings—0
Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews—0
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single WordCode0
Critical Sentence Identification in Legal Cases Using Multi-Class Classification—0
DataWords: Getting Contrarian with Text, Structured Data and Explanations—0
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity—0
Explaining Face Presentation Attack Detection Using Natural Language—0
Towards Debiasing Temporal Sentence Grounding in Video—0
Machine-in-the-Loop Rewriting for Creative Image CaptioningCode0
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
A text autoencoder from transformer for fast encoding language representation—0
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching—0
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking—0
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