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 451–500 of 1564 papers

TitleStatusHype
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
SimMatch: Semi-supervised Learning with Similarity MatchingCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language ModelsCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article SimilarityCode0
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationCode0
Specialising Word Vectors for Lexical EntailmentCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
Embeddings Evaluation Using a Novel Measure of Semantic SimilarityCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Supervised Knowledge May Hurt Novel Class Discovery PerformanceCode0
Supervised Online Hashing via Hadamard Codebook LearningCode0
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performanceCode0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial TermsCode0
Text-in-Context: Token-Level Error Detection for Table-to-Text GenerationCode0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Chinese Word Sense Embedding with SememeWSD and Synonym SetCode0
The Impact of Word Splitting on the Semantic Content of Contextualized Word RepresentationsCode0
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word EmbeddingsCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
Are LLMs complicated ethical dilemma analyzers?Code0
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action PruningCode0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
A random forest based computational model for predicting novel lncRNA-disease associationsCode0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence SimilarityCode0
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual SimilarityCode0
Explaining Text Similarity in Transformer ModelsCode0
Category-aware EEG image generation based on wavelet transform and contrast semantic lossCode0
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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