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 126–150 of 1564 papers

Title	Date	Tasks	Status	Hype
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters	Oct 20, 2020	Clinical Concept ExtractionDrug–drug Interaction Extraction	CodeCode Available	1
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark	Jun 15, 2021	Intent ClassificationMedical Concept Normalization	CodeCode Available	1
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example	Jun 11, 2021	Audio GenerationSemantic Similarity	CodeCode Available	1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation	Apr 17, 2025	RAGRetrieval	CodeCode Available	1
Class-relation Knowledge Distillation for Novel Class Discovery	Jul 18, 2023	Knowledge DistillationNovel Class Discovery	CodeCode Available	1
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models	Dec 15, 2023	BenchmarkingCode Summarization	CodeCode Available	1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers	Apr 9, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval	Apr 18, 2022	Adversarial AttackAdversarial Defense	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
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation	Jun 13, 2024	Autonomous DrivingObject	CodeCode Available	1
ComStreamClust: a communicative multi-agent approach to text clustering in streaming data	Oct 11, 2020	ClusteringSemantic Similarity	CodeCode Available	1
AstroCLIP: A Cross-Modal Foundation Model for Galaxies	Oct 4, 2023	Contrastive Learningmodel	CodeCode Available	1
Context Compression for Auto-regressive Transformers with Sentinel Tokens	Oct 12, 2023	Language ModelingLanguage Modelling	CodeCode Available	1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization	Sep 9, 2021	Abstractive Text SummarizationDecoder	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
Cross-lingual Text Classification with Heterogeneous Graph Neural Network	May 24, 2021	ClassificationGraph Neural Network	CodeCode Available	1
C-STS: Conditional Semantic Textual Similarity	May 24, 2023	Information RetrievalLanguage Model Evaluation	CodeCode Available	1
A Semantic-based Method for Unsupervised Commonsense Question Answering	May 31, 2021	Question AnsweringSemantic Similarity	CodeCode Available	1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation	May 1, 2022	Paraphrase GenerationSemantic Similarity	CodeCode Available	1
Deep Representational Re-tuning using Contrastive Tension	Jan 1, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
DeepSim: Semantic similarity metrics for learned image registration	Nov 11, 2020	Image RegistrationSemantic Similarity	CodeCode Available	1
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity	Dec 19, 2024	Contrastive LearningDenoising	CodeCode Available	1
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Jan 1, 2023	Sarcasm DetectionSemantic Similarity	CodeCode Available	1
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models	Apr 11, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
A Simple Long-Tailed Recognition Baseline via Vision-Language Model	Nov 29, 2021	Contrastive LearningLanguage Modeling	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