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 276–300 of 1564 papers

Title	Date	Tasks	Status	Score
ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge	Jun 17, 2025	BenchmarkingRetrieval	CodeCode Available	5
Better Summarization Evaluation with Word Embeddings for ROUGE	Aug 25, 2015	Abstractive Text SummarizationSemantic Similarity	CodeCode Available	5
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	Feb 28, 2015	General ClassificationSemantic Similarity	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
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling	May 4, 2019	AI AgentKnowledge Graphs	CodeCode Available	5
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings	Nov 29, 2023	Cross-Lingual TransferLanguage Modeling	CodeCode Available	5
Identifying Cognate Sets Across Dictionaries of Related Languages	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization	Nov 2, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings	May 25, 2016	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering	May 25, 2025	Question AnsweringRAG	CodeCode Available	5
Identifying Semantic Divergences in Parallel Text without Annotations	Mar 29, 2018	Machine TranslationSemantic Similarity	CodeCode Available	5
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization	Jan 1, 2022	DiversitySemantic Segmentation	CodeCode Available	5
How does BERT capture semantics? A closer look at polysemous words	Nov 1, 2020	Semanticity predictionSemantic Similarity	CodeCode Available	5
Phrase Localization Without Paired Training Examples	Aug 20, 2019	Semantic SimilaritySemantic Textual 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
Hybrid Semantic Recommender System for Chemical Compounds	Jan 21, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	5
Image Similarity using An Ensemble of Context-Sensitive Models	Jan 15, 2024	Dimensionality ReductionSemantic Similarity	CodeCode Available	5
Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2D	Jan 1, 2025	Moment RetrievalSemantic Similarity	CodeCode Available	5
Adversarial Self-Attention for Language Understanding	Jun 25, 2022	Machine Reading ComprehensionNamed Entity Recognition (NER)	CodeCode Available	5
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available	5
Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment	Jan 1, 2025	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation	Aug 21, 2024	Point Cloud SegmentationSemantic Similarity	CodeCode Available	5
A character-based steganography using masked language modeling	Jan 15, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming	Jun 1, 2024	DiversitySemantic Similarity	CodeCode Available	5
Hierarchy-based Image Embeddings for Semantic Image Retrieval	Sep 26, 2018	Few-Shot LearningImage Retrieval	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