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 901–925 of 1564 papers

Title	Date	Tasks	Status
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA	Aug 1, 2017	Community Question AnsweringGeneral Classification	—Unverified
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection	Aug 1, 2017	Community Question AnsweringGeneral Classification	—Unverified
Targeted and Troublesome: Tracking and Advertising on Children's Websites	Aug 9, 2023	Semantic SimilaritySemantic Textual Similarity	—Unverified
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering	Jan 16, 2022	Continual LearningIncremental Learning	—Unverified
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity	Dec 1, 2016	Question AnsweringSemantic Similarity	—Unverified
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity	Jul 1, 2022	ArticlesMachine Translation	—Unverified
Team GPLSI. Approach for automated fact checking	Nov 1, 2019	ArticlesFact Checking	—Unverified
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia	Dec 12, 2018	Semantic SimilaritySemantic Textual Similarity	—Unverified
Term Based Semantic Clusters for Very Short Text Classification	Sep 1, 2019	ClassificationGeneral Classification	—Unverified
Testing the limits of unsupervised learning for semantic similarity	Oct 23, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
TexIm FAST: Text-to-Image Representation for Semantic Similarity Evaluation using Transformers	Jun 6, 2024	InformativenessSemantic Similarity	—Unverified
Text Classification with Negative Supervision	Jul 1, 2020	ClassificationGeneral Classification	—Unverified
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach	Nov 1, 2019	Meta-LearningSemantic Similarity	—Unverified
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity	Sep 12, 2023	MemorizationSemantic Similarity	—Unverified
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models	Oct 1, 2022	Automated Theorem ProvingInformation Retrieval	—Unverified
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation	Jan 1, 2023	AttributeImage Manipulation	—Unverified
Texts in, meaning out: neural language models in semantic similarity task for Russian	Apr 30, 2015	Semantic SimilaritySemantic Textual Similarity	—Unverified
The Case for Perspective in Multimodal Datasets	May 22, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified
The Challenge of Composition in Distributional and Formal Semantics	Nov 1, 2017	Natural Language InferenceSemantic Composition	—Unverified
The Corpus Replication Task	Jun 20, 2018	Semantic SimilaritySemantic Textual Similarity	—Unverified
The Effect of Negative Sampling Strategy on Capturing Semantic Similarity in Document Embeddings	Sep 1, 2017	Answer SelectionCommunity Question Answering	—Unverified
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity	Aug 1, 2014	Natural Language InferenceSemantic Similarity	—Unverified
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain	Nov 28, 2018	Semantic SimilaritySemantic Textual Similarity	—Unverified
The semantic similarity ensemble	Jan 11, 2014	Information RetrievalRetrieval	—Unverified
The strange geometry of skip-gram with negative sampling	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified

Show:10 25 50

← PrevPage 37 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 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