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 501–525 of 1564 papers

Title	Date	Tasks	Status	Score
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints	Sep 4, 2018	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
VacancySBERT: the approach for representation of titles and skills for semantic similarity search in the recruitment domain	Jul 31, 2023	Language ModellingSemantic Similarity	CodeCode Available	5
A random forest based computational model for predicting novel lncRNA-disease associations	Mar 27, 2020	feature selectionPrediction	CodeCode Available	5
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs	Jan 24, 2025	Knowledge GraphsMedical Question Answering	CodeCode Available	5
Explaining Text Similarity in Transformer Models	May 10, 2024	Information RetrievalRetrieval	CodeCode Available	5
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERT	Aug 22, 2020	Multiple-choiceQuestion Answering	CodeCode Available	5
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph	Oct 12, 2020	General ClassificationGraph Neural Network	CodeCode Available	5
Audio Caption in a Car Setting with a Sentence-Level Loss	May 31, 2019	Audio captioningDecoder	CodeCode Available	5
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics	Sep 20, 2022	CPUGPU	CodeCode Available	5
Few-shot Hybrid Domain Adaptation of Image Generators	Oct 30, 2023	Domain AdaptationSemantic Similarity	CodeCode Available	5
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning	Aug 29, 2024	Few-Shot Imitation LearningImitation Learning	CodeCode Available	5
Fake News Detection After LLM Laundering: Measurement and Explanation	Jan 29, 2025	Fake News DetectionMisinformation	CodeCode Available	5
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments	Jul 13, 2024	Entity LinkingNatural Language Inference	CodeCode Available	5
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems	Feb 26, 2020	General ClassificationRetrieval	CodeCode Available	5
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection	Jul 6, 2025	Out-of-Distribution DetectionOut of Distribution (OOD) Detection	CodeCode Available	5
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity	Jun 1, 2023	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning	Apr 17, 2024	Argument Mininggraph partitioning	CodeCode Available	5
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models	May 16, 2025	Image CaptioningQuestion Answering	CodeCode Available	5
Category-aware EEG image generation based on wavelet transform and contrast semantic loss	May 30, 2025	EEGImage Generation	CodeCode Available	5
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks	Apr 4, 2016	Entity LinkingSemantic correspondence	CodeCode Available	5
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022	Jun 29, 2022	Multi-Instance RetrievalRetrieval	CodeCode Available	5
Exploring RWKV for Sentence Embeddings: Layer-wise Analysis and Baseline Comparison for Semantic Similarity	Feb 20, 2025	GPULanguage Modeling	CodeCode Available	5
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency	Jul 1, 2019	Adversarial AttackClassification	CodeCode Available	5
Learning semantic sentence representations from visually grounded language without lexical knowledge	Mar 27, 2019	Grounded language learningLearning Semantic Representations	CodeCode Available	5
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search	Jul 19, 2022	Information RetrievalNatural Language Understanding	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 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