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TitleStatusHype
Enhance audio generation controllability through representation similarity regularization—0
Estimating Text Similarity based on Semantic Concept Embeddings—0
Estimating the Adversarial Robustness of Attributions in Text with Transformers—0
Estimation of cross-lingual news similarities using text-mining methods—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding—0
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching—0
FaNS: a Facet-based Narrative Similarity Metric—0
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing—0
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
Fully Autonomous Programming with Large Language Models—0
Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading—0
GNAT: A General Narrative Alignment Tool—0
Graph-Based Approach to Recognizing CST Relations in Polish Texts—0
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity—0
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching—0
How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution—0
Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
In-depth analysis of recall initiators of medical devices with a Machine Learning-Natural language Processing workflow—0
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding—0
Interpretable Text Embeddings and Text Similarity Explanation: A Primer—0
Interpreting BERT-based Text Similarity via Activation and Saliency Maps—0
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks—0
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