SOTAVerified

Semantic Similarity

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Papers

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Showing 301–350 of 1564 papers

TitleStatusHype
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text—0
Unifying Demonstration Selection and Compression for In-Context Learning—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
DEMO: A Statistical Perspective for Efficient Image-Text Matching—0
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy—0
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report GenerationCode1
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
InsightNet: Structured Insight Mining from Customer Feedback—0
Explaining Text Similarity in Transformer ModelsCode0
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering—0
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval—0
Unsupervised Flow Discovery from Task-oriented Dialogues—0
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness—0
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the BrainCode0
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks—0
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks—0
Learning Object Semantic Similarity with Self-Supervision—0
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity—0
Prompt-tuning for Clickbait Detection via Text Summarization—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Toward a Realistic Benchmark for Out-of-Distribution Detection—0
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersCode1
Know When To Stop: A Study of Semantic Drift in Text Generation—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
Retrieval-Augmented Open-Vocabulary Object DetectionCode1
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach—0
ALOHa: A New Measure for Hallucination in Captioning Models—0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Weakly-supervised Audio Separation via Bi-modal Semantic SimilarityCode2
ParaICL: Towards Parallel In-Context LearningCode0
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian LanguagesCode1
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language—0
Lightweight Embeddings for Graph Collaborative FilteringCode0
Attention-aware semantic relevance predicting Chinese sentence reading—0
Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasksCode0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models—0
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs—0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical DomainCode0
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives—0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models—0
NLP Verification: Towards a General Methodology for Certifying RobustnessCode0
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM—0
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach—0
Deep Contrastive Multi-view Clustering under Semantic Feature Guidance—0
Is Cosine-Similarity of Embeddings Really About Similarity?—0
Learning to Rematch Mismatched Pairs for Robust Cross-Modal RetrievalCode1
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38—Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51—Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75—Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31—Unverified
2LSTM (Tai et al., 2015)MSE0.28—Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27—Unverified
4combine-skip (Kiros et al., 2015)MSE0.27—Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94—Unverified
2BioLinkBERT (base)Pearson Correlation0.93—Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6—Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62—Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85—Unverified