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Showing 151–200 of 271 papers

TitleStatusHype
The power of text similarity in identifying AI-LLM paraphrased documents: The case of BBC news articles and ChatGPT—0
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design—0
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services—0
The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations—0
Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs—0
Towards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs—0
Towards Practical Defect-Focused Automated Code Review—0
Towards Quantifying the Distance between Opinions—0
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese—0
UNED: Improving Text Similarity Measures without Human Assessments—0
UNITOR: Combining Semantic Text Similarity functions through SV Regression—0
UNITOR-CORE\_TYPED: Combining Text Similarity and Semantic Filters through SV Regression—0
University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity—0
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning—0
Unsupervised Concept Representation Learning for Length-Varying Text Similarity—0
Unsupervised Low-Dimensional Vector Representations for Words, Phrases and Text that are Transparent, Scalable, and produce Similarity Metrics that are Complementary to Neural Embeddings—0
Unsupervised Sparse Vector Densification for Short Text Similarity—0
UNT: A Supervised Synergistic Approach to Semantic Text Similarity—0
UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking—0
UOW: Semantically Informed Text Similarity—0
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models—0
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation—0
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations—0
Word Embedding based Edit Distance—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
Judgment2vec: Apply Graph Analytics to Searching and Recommendation of Similar Judgments—0
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases—0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—0
BURT: BERT-inspired Universal Representation from Twin Structure—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Semantic Similarity for Very Short Texts—0
Learning to Rank Scientific Documents from the Crowd—0
LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items—0
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
Locality Preserving Loss: Neighbors that Live together, Align together—0
Matching of Descriptive Labels to Glossary Descriptions—0
Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Missed opportunities in translation memory matching—0
Modeling Extractive Sentence Intersection via Subtree Entailment—0
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching—0
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization—0
NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity—0
On-Device Sentence Similarity for SMS Dataset—0
One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks—0
One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages—0
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