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

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Showing 1351–1375 of 1564 papers

Title	Date	Tasks	Status
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity	Sep 14, 2019	DiversityMachine Translation	CodeCode Available
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search	Jun 7, 2025	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction	Jan 17, 2023	Open Information ExtractionParaphrase Generation	CodeCode Available
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling	May 4, 2019	AI AgentKnowledge Graphs	CodeCode Available
Deep Metric Learning Beyond Binary Supervision	Apr 21, 2019	Image CaptioningImage Retrieval	CodeCode Available
Annotating and analyzing the interactions between meaning relations	Aug 1, 2019	Natural Language InferenceSemantic Similarity	CodeCode Available
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks	Aug 20, 2017	POSPOS Tagging	CodeCode Available
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs	May 26, 2025	PositionSemantic Similarity	CodeCode Available
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study	Jan 14, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Semantic similarity prediction is better than other semantic similarity measures	Sep 22, 2023	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Transfer learning for semantic similarity measures based on symbolic regression	Jul 2, 2023	regressionSemantic Similarity	CodeCode Available
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming	Jun 1, 2024	DiversitySemantic Similarity	CodeCode Available
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation	Aug 21, 2024	Point Cloud SegmentationSemantic Similarity	CodeCode Available
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained Model	Mar 3, 2025	ClassificationDimensionality Reduction	CodeCode Available
A Generalized Method for Automated Multilingual Loanword Detection	Oct 1, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action Counting	Aug 31, 2024	Pose EstimationRepetitive Action Counting	CodeCode Available
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder	May 30, 2025	ArticlesSemantic Similarity	CodeCode Available
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model	Jul 1, 2022	DecoderLanguage Modeling	CodeCode Available
An Isotropy Analysis in the Multilingual BERT Embedding Space	Oct 9, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Semantics or spelling? Probing contextual word embeddings with orthographic noise	Aug 8, 2024	Language ModelingLanguage Modelling	CodeCode Available
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints	Jun 1, 2017	Dialogue State TrackingSemantic Similarity	CodeCode Available
TransFool: An Adversarial Attack against Neural Machine Translation Models	Feb 2, 2023	Adversarial AttackLanguage Modelling	CodeCode Available
Unsupervised Hashing with Semantic Concept Mining	Sep 23, 2022	Image RetrievalPrompt Engineering	CodeCode Available
Semantic Structure-based Unsupervised Deep Hashing	May 1, 2018	Deep HashingSemantic Similarity	CodeCode Available
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization	Feb 26, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available

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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 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