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 1401–1450 of 1564 papers

TitleStatusHype
Quantifying Positional Biases in Text Embedding ModelsCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Unsupervised Semantic Hashing with Pairwise ReconstructionCode0
De-Conflated Semantic RepresentationsCode0
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial TermsCode0
Learning Semantic Textual Similarity from ConversationsCode0
Learning Semantic Textual Similarity via Topic-informed Discrete Latent VariablesCode0
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical DomainCode0
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual SimilarityCode0
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase EmbeddingsCode0
AEON: A Method for Automatic Evaluation of NLP Test CasesCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
Ranked List Loss for Deep Metric LearningCode0
Ranking and Classification driven Feature Learning for Person Re_identificationCode0
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approachesCode0
Automatic Design of Semantic Similarity Ensembles Using Grammatical EvolutionCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia ContentCode0
Counter-fitting Word Vectors to Linguistic ConstraintsCode0
TextBugger: Generating Adversarial Text Against Real-world ApplicationsCode0
Reasoning Graph Enhanced Exemplars Retrieval for In-Context LearningCode0
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image ColorizationCode0
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual LearningCode0
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene GraphCode0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsCode0
Lightweight Embeddings for Graph Collaborative FilteringCode0
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship NetworkCode0
UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual EntailmentCode0
A character-based steganography using masked language modelingCode0
Text-in-Context: Token-Level Error Detection for Table-to-Text GenerationCode0
reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive LearningCode0
Linguistically Conditioned Semantic Textual SimilarityCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Continual Audio-Visual Sound SeparationCode0
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish LanguageCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based MethodsCode0
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence RepresentationsCode0
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement LearningCode0
Logic Constrained Pointer Networks for Interpretable Textual SimilarityCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic GraphCode0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
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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