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 176–200 of 1564 papers

Title	Date	Tasks	Status	Hype
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding	Feb 17, 2016	Entity TypingSemantic Similarity	CodeCode Available	1
Benchmarking large language models for biomedical natural language processing applications and recommendations	May 10, 2023	BenchmarkingDocument Classification	CodeCode Available	1
Learning by Semantic Similarity Makes Abstractive Summarization Better	Feb 18, 2020	Abstractive Text SummarizationSemantic Similarity	CodeCode Available	1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs	May 19, 2023	Question AnsweringSemantic Similarity	CodeCode Available	1
Class-relation Knowledge Distillation for Novel Class Discovery	Jul 18, 2023	Knowledge DistillationNovel Class Discovery	CodeCode Available	1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation	Apr 17, 2025	RAGRetrieval	CodeCode Available	1
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators	Sep 21, 2021	Contrastive LearningGraph Representation Learning	CodeCode Available	1
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models	Nov 22, 2023	Graph GenerationRetrieval	CodeCode Available	1
MarkBERT: Marking Word Boundaries Improves Chinese BERT	Nov 16, 2021	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	1
Meaning Representations from Trajectories in Autoregressive Models	Oct 23, 2023	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Automated radiology report generation using conditioned transformers	Mar 26, 2021	Medical Report GenerationSemantic Similarity	CodeCode Available	1
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark	Jun 15, 2021	Intent ClassificationMedical Concept Normalization	CodeCode Available	1
MedSTS: A Resource for Clinical Semantic Textual Similarity	Aug 28, 2018	Decision MakingSemantic Similarity	CodeCode Available	1
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis	Dec 11, 2023	Contrastive LearningSemantic Similarity	CodeCode Available	1
Automatic Generation of Topic Labels	May 29, 2020	DescriptiveInformation Retrieval	CodeCode Available	1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval	Apr 18, 2022	Adversarial AttackAdversarial Defense	CodeCode Available	1
No Fuss Distance Metric Learning using Proxies	Mar 21, 2017	Metric LearningSemantic Similarity	CodeCode Available	1
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts	Jun 28, 2024	In-Context LearningSemantic Similarity	CodeCode Available	1
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling	May 19, 2025	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research	Nov 2, 2024	Line DetectionSemantic Similarity	CodeCode Available	1
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation	May 3, 2020	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity	Aug 11, 2020	DiversityMachine Translation	CodeCode Available	1
Paraphrastic Representations at Scale	Apr 30, 2021	CPUGPU	CodeCode Available	1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition	Oct 1, 2022	Contrastive Learningfew-shot-ner	CodeCode Available	1
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Jan 1, 2023	Sarcasm DetectionSemantic Similarity	CodeCode Available	1

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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