Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2001–2025 of 2381 papers

Title	Date	Tasks	Status
Practical issues in developing semantic frameworks for the analysis of verbal fluency data: A Norwegian data case study	Jun 1, 2015	Semantic Textual SimilarityTopic Models	—Unverified
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments	Jun 1, 2015	Machine TranslationSemantic Textual Similarity	—Unverified
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity	Jun 1, 2015	Image RetrievalInformation Retrieval	—Unverified
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2	Jun 1, 2015	Domain AdaptationSemantic Textual Similarity	—Unverified
AZMAT: Sentence Similarity Using Associative Matrices	Jun 1, 2015	Image CaptioningSemantic Textual Similarity	—Unverified
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability	Jun 1, 2015	Natural Language InferenceQuestion Answering	—Unverified
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
MathLingBudapest: Concept Networks for Semantic Similarity	Jun 1, 2015	Graph SimilaritySemantic Similarity	CodeCode Available
UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS	Jun 1, 2015	Semantic Textual SimilaritySTS	—Unverified
Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
Al-Bayan: A Knowledge-based System for Arabic Answer Selection	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
SOPA: Random Forests Regression for the Semantic Textual Similarity task	Jun 1, 2015	regressionSemantic Textual Similarity	—Unverified
WSL: Sentence Similarity Using Semantic Distance Between Words	Jun 1, 2015	Semantic Textual SimilaritySentence	CodeCode Available
ASAP-II: From the Alignment of Phrases to Textual Similarity	Jun 1, 2015	Natural Language InferenceSemantic Textual Similarity	—Unverified
TAKELAB: Medical Information Extraction and Linking with MINERAL	Jun 1, 2015	Entity LinkingSemantic Textual Similarity	—Unverified
UQeResearch: Semantic Textual Similarity Quantification	Jun 1, 2015	Semantic Textual Similarity	—Unverified
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity	Jun 1, 2015	Machine TranslationNatural Language Inference	—Unverified
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition	Jun 1, 2015	Information RetrievalMachine Translation	—Unverified
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity	Jun 1, 2015	Machine TranslationPart-Of-Speech Tagging	—Unverified
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity	Jun 1, 2015	ChunkingSemantic Textual Similarity	—Unverified
Implicit Entity Recognition in Clinical Documents	Jun 1, 2015	Semantic Textual Similarity	—Unverified
yiGou: A Semantic Text Similarity Computing System Based on SVM	Jun 1, 2015	Machine TranslationQuestion Answering	—Unverified

Show:10 25 50

← PrevPage 81 of 96Next →

All datasets STS Benchmark MTEB MRPC SICK STS13 STS14 STS12 STS15 STS16 MRPC Dev SentEval SICK-R

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SMARTRoBERTa	Dev Pearson Correlation	92.8	—	Unverified
2	DeBERTa (large)	Accuracy	92.5	—	Unverified
3	SMART-BERT	Dev Pearson Correlation	90	—	Unverified
4	MT-DNN-SMART	Pearson Correlation	0.93	—	Unverified
5	StructBERTRoBERTa ensemble	Pearson Correlation	0.93	—	Unverified
6	Mnet-Sim	Pearson Correlation	0.93	—	Unverified
7	XLNet (single model)	Pearson Correlation	0.93	—	Unverified
8	ALBERT	Pearson Correlation	0.93	—	Unverified
9	T5-11B	Pearson Correlation	0.93	—	Unverified
10	RoBERTa	Pearson Correlation	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AnglE-UAE	Spearman Correlation	84.54	—	Unverified
2	ST5-XXL	Spearman Correlation	82.63	—	Unverified
3	ST5-Large	Spearman Correlation	81.83	—	Unverified
4	ST5-XL	Spearman Correlation	81.66	—	Unverified
5	ST5-Base	Spearman Correlation	81.14	—	Unverified
6	MPNet-multilingual	Spearman Correlation	80.73	—	Unverified
7	SGPT-5.8B-nli	Spearman Correlation	80.53	—	Unverified
8	MPNet	Spearman Correlation	80.28	—	Unverified
9	MiniLM-L12	Spearman Correlation	79.8	—	Unverified
10	SimCSE-BERT-sup	Spearman Correlation	79.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MT-DNN-SMART	Accuracy	93.7	—	Unverified
2	ALBERT	Accuracy	93.4	—	Unverified
3	RoBERTa (ensemble)	Accuracy	92.3	—	Unverified
4	BigBird	F1	91.5	—	Unverified
5	StructBERTRoBERTa ensemble	Accuracy	91.5	—	Unverified
6	FLOATER-large	Accuracy	91.4	—	Unverified
7	SMART	Accuracy	91.3	—	Unverified
8	RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)	Accuracy	91	—	Unverified
9	RoBERTa-large 355M + Entailment as Few-shot Learner	F1	91	—	Unverified
10	SpanBERT	Accuracy	90.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromCSE-RoBERTa-large (0.355B)	Spearman Correlation	0.82	—	Unverified
2	PromptEOL+CSE+LLaMA-30B	Spearman Correlation	0.82	—	Unverified
3	PromptEOL+CSE+OPT-13B	Spearman Correlation	0.82	—	Unverified
4	SimCSE-RoBERTalarge	Spearman Correlation	0.82	—	Unverified
5	PromptEOL+CSE+OPT-2.7B	Spearman Correlation	0.81	—	Unverified
6	SentenceBERT	Spearman Correlation	0.75	—	Unverified
7	SRoBERTa-NLI-base	Spearman Correlation	0.74	—	Unverified
8	SRoBERTa-NLI-large	Spearman Correlation	0.74	—	Unverified
9	Dino (STS/̄🦕)	Spearman Correlation	0.74	—	Unverified
10	SBERT-NLI-large	Spearman Correlation	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AnglE-LLaMA-7B	Spearman Correlation	0.91	—	Unverified
2	AnglE-LLaMA-7B-v2	Spearman Correlation	0.91	—	Unverified
3	PromptEOL+CSE+LLaMA-30B	Spearman Correlation	0.9	—	Unverified
4	PromptEOL+CSE+OPT-13B	Spearman Correlation	0.9	—	Unverified
5	PromptEOL+CSE+OPT-2.7B	Spearman Correlation	0.9	—	Unverified
6	PromCSE-RoBERTa-large (0.355B)	Spearman Correlation	0.89	—	Unverified
7	Trans-Encoder-BERT-large-bi (unsup.)	Spearman Correlation	0.89	—	Unverified
8	Trans-Encoder-BERT-large-cross (unsup.)	Spearman Correlation	0.88	—	Unverified
9	Trans-Encoder-RoBERTa-large-cross (unsup.)	Spearman Correlation	0.88	—	Unverified
10	SimCSE-RoBERTa-large	Spearman Correlation	0.87	—	Unverified