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 1301–1350 of 1564 papers

TitleStatusHype
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based predictionCode0
When is a bishop not like a rook? When it's like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationshipsCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional NetworksCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image GenerationCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
OrderBkd: Textual backdoor attack through repositioningCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence ScenariosCode0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Semantic Relatedness Based Re-ranker for Text SpottingCode0
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisCode0
A Bilingual Generative Transformer for Semantic Sentence EmbeddingCode0
Phrase Localization Without Paired Training ExamplesCode0
Historical Ink: Semantic Shift Detection for 19th Century SpanishCode0
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksCode0
ParaICL: Towards Parallel In-Context LearningCode0
Semantic Similarity Based Evaluation for Abstractive News SummarizationCode0
Investigating the Effects of Word Substitution Errors on Sentence EmbeddingsCode0
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised LearningCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Does the Objective Matter? Comparing Training Objectives for Pronoun ResolutionCode0
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological DistanceCode0
Supervised Knowledge May Hurt Novel Class Discovery PerformanceCode0
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Description and Evaluation of Semantic Similarity Measures ApproachesCode0
Surfacing Privacy Settings Using Semantic MatchingCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacksCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
VacancySBERT: the approach for representation of titles and skills for semantic similarity search in the recruitment domainCode0
Joint Word Representation Learning using a Corpus and a Semantic LexiconCode0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Syn2Vec: Synset Colexification Graphs for Lexical Semantic SimilarityCode0
Training Cross-Lingual embeddings for Setswana and SepediCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial NetworkCode0
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic SearchCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
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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