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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–275 of 1564 papers

Title	Date	Tasks	Status	Score
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum	Oct 17, 2024	Image GenerationSemantic Similarity	CodeCode Available	5
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance	Mar 23, 2023	Patent classificationSemantic Similarity	CodeCode Available	5
Lightweight Embeddings for Graph Collaborative Filtering	Mar 27, 2024	Collaborative FilteringSemantic Similarity	CodeCode Available	5
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics	Sep 20, 2022	CPUGPU	CodeCode Available	5
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization	Jun 8, 2017	DecoderSemantic Similarity	CodeCode Available	5
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	Feb 28, 2015	General ClassificationSemantic Similarity	CodeCode Available	5
Contextualized Semantic Distance between Highly Overlapped Texts	Oct 4, 2021	Domain AdaptationLanguage Modeling	CodeCode Available	5
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting	Oct 26, 2022	Adversarial RobustnessModel Optimization	CodeCode Available	5
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances	Mar 21, 2024	Machine TranslationSemantic Similarity	CodeCode Available	5
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios	Oct 30, 2024	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge	Jun 17, 2025	BenchmarkingRetrieval	CodeCode Available	5
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity	Sep 5, 2019	Language ModelingLanguage Modelling	CodeCode Available	5
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering	May 25, 2025	Question AnsweringRAG	CodeCode Available	5
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization	Nov 2, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings	Nov 29, 2023	Cross-Lingual TransferLanguage Modeling	CodeCode Available	5
Hybrid Semantic Recommender System for Chemical Compounds	Jan 21, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	5
Identifying Cognate Sets Across Dictionaries of Related Languages	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
How does BERT capture semantics? A closer look at polysemous words	Nov 1, 2020	Semanticity predictionSemantic Similarity	CodeCode Available	5
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning	Aug 10, 2023	Self-Supervised LearningSemantic Similarity	CodeCode Available	5
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text	Feb 2, 2024	Adversarial AttackHard-label Attack	CodeCode Available	5
Historical Ink: Semantic Shift Detection for 19th Century Spanish	Jul 8, 2024	Masked Language ModelingSemantic Shift Detection	CodeCode Available	5
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization	Jan 1, 2022	DiversitySemantic Segmentation	CodeCode Available	5
Identifying Semantic Divergences in Parallel Text without Annotations	Mar 29, 2018	Machine TranslationSemantic Similarity	CodeCode Available	5
Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment	Jan 1, 2025	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Annotating and analyzing the interactions between meaning relations	Aug 1, 2019	Natural Language InferenceSemantic Similarity	CodeCode Available	5

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All datasets Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICK BIOSSES CHIP-STS ClinicalSTS MedSTS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	93.38	—	Unverified
2	SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	91.51	—	Unverified
3	SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	90.69	—	Unverified
4	BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	89.16	—	Unverified
5	BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	89.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.75	—	Unverified
2	SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
3	SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
4	BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	86.8	—	Unverified
5	BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Doc2VecC	MSE	0.31	—	Unverified
2	LSTM (Tai et al., 2015)	MSE	0.28	—	Unverified
3	Bidirectional LSTM (Tai et al., 2015)	MSE	0.27	—	Unverified
4	combine-skip (Kiros et al., 2015)	MSE	0.27	—	Unverified
5	Dependency Tree-LSTM (Tai et al., 2015)	MSE	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BioLinkBERT (large)	Pearson Correlation	0.94	—	Unverified
2	BioLinkBERT (base)	Pearson Correlation	0.93	—	Unverified
3	NCBI_BERT(base) (P+M)	Pearson Correlation	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MacBERT-large	Macro F1	85.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CharacterBERT (base, medical, ensemble)	Pearson Correlation	85.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NCBI_BERT(base) (P+M)	Pearson Correlation	0.85	—	Unverified