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 151–200 of 1564 papers

TitleStatusHype
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
Emotional RAG: Enhancing Role-Playing Agents through Emotional RetrievalCode1
Entity Concept-enhanced Few-shot Relation ExtractionCode1
ComStreamClust: a communicative multi-agent approach to text clustering in streaming dataCode1
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report GenerationCode1
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
Towards Better Understanding of User Satisfaction in Open-Domain Conversational SearchCode1
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
Few-Shot Object Detection via Association and DIscriminationCode1
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsCode1
Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner OraclesCode1
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language ModelsCode1
Graph-based Semantical Extractive Text AnalysisCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous FlightCode1
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERTCode1
IMPACT: A Generic Semantic Loss for Multimodal Medical Image RegistrationCode1
Attentive Normalization for Conditional Image GenerationCode1
Attributable Visual Similarity LearningCode1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity RewardsCode1
Audio-Visual Class-Incremental LearningCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
Label-Guided In-Context Learning for Named Entity RecognitionCode1
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label EmbeddingCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
Learning by Semantic Similarity Makes Abstractive Summarization BetterCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
Class-relation Knowledge Distillation for Novel Class DiscoveryCode1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented GenerationCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
AutoKG: Efficient Automated Knowledge Graph Generation for Language ModelsCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
Meaning Representations from Trajectories in Autoregressive ModelsCode1
Automated radiology report generation using conditioned transformersCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
MedSTS: A Resource for Clinical Semantic Textual SimilarityCode1
Mining Gaze for Contrastive Learning toward Computer-Assisted DiagnosisCode1
Automatic Generation of Topic LabelsCode1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
No Fuss Distance Metric Learning using ProxiesCode1
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert PromptsCode1
One-Step Offline Distillation of Diffusion-based Models via Koopman ModelingCode1
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security ResearchCode1
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation EvaluationCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Paraphrastic Representations at ScaleCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
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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 cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT uncased (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