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

Showing 451475 of 1564 papers

TitleStatusHype
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsCode0
SemSup: Semantic Supervision for Simple and Scalable Zero-shot GeneralizationCode0
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based MetricCode0
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
Exploring RWKV for Sentence Embeddings: Layer-wise Analysis and Baseline Comparison for Semantic SimilarityCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Supervised Online Hashing via Hadamard Codebook LearningCode0
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performanceCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article SimilarityCode0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
Single-View Graph Contrastive Learning with Soft Neighborhood AwarenessCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
Embeddings Evaluation Using a Novel Measure of Semantic SimilarityCode0
Chinese Word Sense Embedding with SememeWSD and Synonym SetCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Are LLMs complicated ethical dilemma analyzers?Code0
Soft Alignment Objectives for Robust Adaptation of Language GenerationCode0
Explaining Text Similarity in Transformer ModelsCode0
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Benchmark Results

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