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 301–325 of 1564 papers

Title	Date	Tasks	Status	Score
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity	Sep 5, 2019	Language ModelingLanguage Modelling	CodeCode Available	5
Analyzing how BERT performs entity matching	Apr 1, 2022	Entity ResolutionSemantic Similarity	CodeCode Available	5
Identifying Cognate Sets Across Dictionaries of Related Languages	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution	Jul 3, 2023	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
Identifying Semantic Divergences in Parallel Text without Annotations	Mar 29, 2018	Machine TranslationSemantic Similarity	CodeCode Available	5
Hybrid Semantic Recommender System for Chemical Compounds	Jan 21, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	5
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization	Nov 2, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability	May 22, 2025	Adversarial DefenseSemantic 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
Image Similarity using An Ensemble of Context-Sensitive Models	Jan 15, 2024	Dimensionality ReductionSemantic Similarity	CodeCode Available	5
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics	May 6, 2020	Language ModelingLanguage Modelling	CodeCode Available	5
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations	Apr 2, 2019	DisentanglementSemantic Similarity	CodeCode Available	5
Ad Hoc Table Retrieval using Semantic Similarity	Feb 16, 2018	RetrievalSemantic Similarity	CodeCode Available	5
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings	Oct 1, 2018	Document ClassificationMachine Translation	CodeCode Available	5
How does BERT capture semantics? A closer look at polysemous words	Nov 1, 2020	Semanticity predictionSemantic 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
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval	May 31, 2019	Entity EmbeddingsLanguage Modeling	CodeCode Available	5
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health	Jun 6, 2023	Data AugmentationSemantic Similarity	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
Augmenting Neural Response Generation with Context-Aware Topical Attention	Nov 2, 2018	DecoderOpen-Domain Dialog	CodeCode Available	5
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming	Jun 1, 2024	DiversitySemantic Similarity	CodeCode Available	5
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available	5
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation	Aug 21, 2024	Point Cloud SegmentationSemantic Similarity	CodeCode Available	5

Show:10 25 50

← PrevPage 13 of 63Next →

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 cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
3	SciBERT uncased (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