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TitleStatusHype
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings—0
Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring—0
A Critique of the Smooth Inverse Frequency Sentence Embeddings—0
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings—0
Do sentence embeddings capture discourse properties of sentences from Scientific Abstracts ?—0
Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support—0
Contrastive Learning of Sentence Representations—0
A Multi-task Approach to Learning Multilingual Representations—0
Contrasting distinct structured views to learn sentence embeddings—0
Attention over pre-trained Sentence Embeddings for Long Document Classification—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
A Mutually Reinforced Framework for Pretrained Sentence Embeddings—0
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations—0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
Convolutional Neural Network for Universal Sentence Embeddings—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Automatic Difficulty Classification of Arabic Sentences—0
COSTRA 1.0: A Dataset of Complex Sentence Transformations—0
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions—0
Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic—0
Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic—0
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment—0
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