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 351–375 of 1564 papers

Title	Date	Tasks	Status
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences	Oct 23, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective	Sep 14, 2023	Contrastive LearningSemantic Similarity	—Unverified
Distributional Measures of Semantic Distance: A Survey	Mar 8, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity	Aug 1, 2014	Coreference ResolutionSemantic Similarity	—Unverified
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase	Apr 16, 2021	Data Augmentationintent-classification	—Unverified
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI	Feb 18, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning	Jun 26, 2025	cross-modal alignmentRepresentation Learning	—Unverified
Czech News Dataset for Semantic Textual Similarity	Aug 19, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization	Jan 22, 2021	Learning-To-RankMulti-class Classification	—Unverified
DOCK: Detecting Objects by transferring Common-sense Knowledge	Apr 3, 2018	AttributeCommon Sense Reasoning	—Unverified
Czech Dataset for Semantic Similarity and Relatedness	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain	Sep 7, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified
Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization	Apr 21, 2025	3D GenerationSemantic Similarity	—Unverified
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE	Oct 28, 2023	Semantic SimilaritySemantic Textual Similarity	—Unverified
Autoencoder-Based Domain Learning for Semantic Communication with Conceptual Spaces	Jan 29, 2024	Semantic CommunicationSemantic Similarity	—Unverified
AuthorMist: Evading AI Text Detectors with Reinforcement Learning	Mar 10, 2025	reinforcement-learningReinforcement Learning	—Unverified
A Multi-level Alignment Training Scheme for Video-and-Language Grounding	Apr 22, 2022	RetrievalSemantic Similarity	—Unverified
Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding	Sep 22, 2023	Semantic SimilaritySemantic Textual Similarity	—Unverified
Automated Feedback Loops to Protect Text Simplification with Generative AI from Information Loss	May 22, 2025	Missing ElementsSemantic Similarity	—Unverified
A Discriminative Vectorial Framework for Multi-modal Feature Representation	Mar 9, 2021	Audio Emotion RecognitionData Visualization	—Unverified
Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving	Mar 26, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions	Sep 19, 2019	Community Question AnsweringQuestion Answering	—Unverified
Cross-modal Deep Metric Learning with Multi-task Regularization	Mar 21, 2017	Cross-Modal RetrievalMetric Learning	—Unverified
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Cross-media Similarity Metric Learning with Unified Deep Networks	Apr 14, 2017	Metric LearningRepresentation Learning	—Unverified

Show:10 25 50

← PrevPage 15 of 63Next →

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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
3	SciBERT cased (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