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 701–725 of 1564 papers

Title	Date	Tasks	Status
KNNs of Semantic Encodings for Rating Prediction	Feb 1, 2023	Collaborative FilteringPrediction	—Unverified
Improving ROUGE for Timeline Summarization	Apr 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model	Mar 29, 2022	Cross-Modal RetrievalLanguage Modeling	—Unverified
Improving Semantic Similarity Calculation of Japanese Text for MT Evaluation	Oct 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs	Jul 20, 2023	Recommendation SystemsSemantic Similarity	—Unverified
Improving Text Semantic Similarity Modeling through a 3D Siamese Network	Jul 18, 2023	NavigateSemantic Similarity	—Unverified
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations	Jul 15, 2023	Information RetrievalRetrieval	—Unverified
Language Models Explain Word Reading Times Better Than Empirical Predictability	Feb 2, 2022	Additive modelsRetrieval	—Unverified
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models	Nov 25, 2024	Red TeamingSemantic Similarity	—Unverified
In-Context Learning for Few-Shot Nested Named Entity Recognition	Feb 2, 2024	Contrastive LearningIn-Context Learning	—Unverified
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling	Nov 1, 2019	Natural Language InferenceQuestion Answering	—Unverified
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching	Oct 12, 2020	Metric LearningSemantic Similarity	—Unverified
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation	May 1, 2020	RetrievalSemantic Similarity	—Unverified
IndoWordNet::Similarity- Computing Semantic Similarity and Relatedness using IndoWordNet	Jan 1, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization	Apr 21, 2025	3D GenerationSemantic Similarity	—Unverified
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation	Jul 1, 2018	Dialogue State TrackingRepresentation Learning	—Unverified
Czech Dataset for Semantic Similarity and Relatedness	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Inpatient2Vec: Medical Representation Learning for Inpatients	Apr 18, 2019	Representation LearningSemantic Similarity	—Unverified
Code Clone Detection based on Event Embedding and Event Dependency	Nov 28, 2021	Clone DetectionSemantic Similarity	—Unverified
InsightNet: Structured Insight Mining from Customer Feedback	May 12, 2024	Semantic SimilaritySemantic Textual Similarity	—Unverified
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM	Nov 17, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Instance Cross Entropy for Deep Metric Learning	Nov 22, 2019	Metric LearningSemantic Similarity	—Unverified
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness	Nov 16, 2021	Few-Shot LearningFew-shot NER	—Unverified
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase	Apr 16, 2021	Data Augmentationintent-classification	—Unverified
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension	Nov 20, 2019	DecoderDistractor Generation	—Unverified

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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