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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–750 of 1564 papers

TitleStatusHype
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LMCode0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model—0
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image GenerationCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
A practical method for occupational skills detection in Vietnamese job listings—0
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations—0
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning RepresentationCode0
Like a bilingual baby: The advantage of visually grounding a bilingual language model—0
Learning to embed semantic similarity for joint image-text retrieval—0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation—0
A Framework for Web Services Retrieval Using Bio Inspired Clustering—0
Lexical semantics enhanced neural word embeddings—0
Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity—0
A Generalized Method for Automated Multilingual Loanword DetectionCode0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models—0
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet—0
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation—0
Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision—0
KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned—0
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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