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 1401–1425 of 1564 papers

Title	Date	Tasks	Status
Quantifying Positional Biases in Text Embedding Models	Dec 13, 2024	Information RetrievalPosition	CodeCode Available
Learning semantic sentence representations from visually grounded language without lexical knowledge	Mar 27, 2019	Grounded language learningLearning Semantic Representations	CodeCode Available
Unsupervised Semantic Hashing with Pairwise Reconstruction	Jul 1, 2020	DecoderSemantic Similarity	CodeCode Available
De-Conflated Semantic Representations	Aug 5, 2016	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms	Jul 29, 2021	Data AugmentationSemantic Similarity	CodeCode Available
Learning Semantic Textual Similarity from Conversations	Apr 20, 2018	Community Question AnsweringNatural Language Inference	CodeCode Available
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables	Nov 7, 2022	Language ModelingLanguage Modelling	CodeCode Available
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain	Mar 21, 2024	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity	Dec 3, 2024	Adversarial RobustnessAdversarial Text	CodeCode Available
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings	May 25, 2016	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
AEON: A Method for Automatic Evaluation of NLP Test Cases	May 13, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
GenSense: A Generalized Sense Retrofitting Model	Aug 1, 2018	modelSemantic Similarity	CodeCode Available
Ranked List Loss for Deep Metric Learning	Mar 8, 2019	Image RetrievalMetric Learning	CodeCode Available
Ranking and Classification driven Feature Learning for Person Re_identification	Dec 25, 2019	ClassificationGeneral Classification	CodeCode Available
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches	May 29, 2023	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution	Jul 3, 2023	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs	Jun 5, 2024	ClusteringNatural Language Inference	CodeCode Available
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content	Aug 14, 2018	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Counter-fitting Word Vectors to Linguistic Constraints	Mar 2, 2016	Dialogue State TrackingSemantic Similarity	CodeCode Available
TextBugger: Generating Adversarial Text Against Real-world Applications	Dec 13, 2018	Adversarial TextMachine Translation	CodeCode Available
Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning	Sep 17, 2024	Few-Shot LearningIn-Context Learning	CodeCode Available
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network	Oct 1, 2018	Abstractive Text SummarizationMachine Translation	CodeCode Available
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization	May 21, 2025	ColorizationImage Colorization	CodeCode Available
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning	Aug 2, 2024	Continual LearningKnowledge Distillation	CodeCode Available
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph	Sep 7, 2022	Relational ReasoningSemantic Similarity	CodeCode Available

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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