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 1226–1250 of 1564 papers

TitleStatusHype
Personalized Ranking in eCommerce Search—0
PESTS: Persian_English Cross Lingual Corpus for Semantic Textual Similarity—0
PhotoBot: Reference-Guided Interactive Photography via Natural Language—0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance—0
Portuguese FAQ for Financial Services—0
Predicting the relevance of distributional semantic similarity with contextual information—0
Predicting the Score of Atomic Candidate OWL Class Axioms—0
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM—0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?—0
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty—0
PR-Net: Preference Reasoning for Personalized Video Highlight Detection—0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data—0
Probabilistic Zero-shot Classification with Semantic Rankings—0
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks—0
Proceedings of the LexSem+Logics Workshop 2016—0
ProcSim: Proxy-based Confidence for Robust Similarity Learning—0
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition—0
PromptBERT: Improving BERT Sentence Embeddings with Prompts—0
PromptExp: Multi-granularity Prompt Explanation of Large Language Models—0
Prompting Large Language Model for Machine Translation: A Case Study—0
Prompt Obfuscation for Large Language Models—0
Prompt-tuning for Clickbait Detection via Text Summarization—0
ProtCLIP: Function-Informed Protein Multi-Modal Learning—0
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation—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