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 1551–1564 of 1564 papers

Title	Date	Tasks	Status
LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets	Jul 1, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets	Jul 1, 2012	Machine TranslationNatural Language Inference	—Unverified
Modeling Sentences in the Latent Space	Jul 1, 2012	Machine TranslationRetrieval	—Unverified
BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment	Jul 1, 2012	Natural Language InferenceSemantic Similarity	—Unverified
JU\_CSE\_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs	Jul 1, 2012	General ClassificationSemantic Similarity	—Unverified
\'Etat de l'art : mesures de similarit\'e s\'emantique locales et algorithmes globaux pour la d\'esambigu\" lexicale \`a base de connaissances (State of the art : Local Semantic Similarity Measures and Global Algorithmes for Knowledge-based Word Sense Disambiguation) [in French]	Jun 1, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks	May 1, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
NgramQuery - Smart Information Extraction from Google N-gram using External Resources	May 1, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
Distributional Measures of Semantic Distance: A Survey	Mar 8, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified
Learning a Tree of Metrics with Disjoint Visual Features	Dec 1, 2011	AttributeMetric Learning	—Unverified
Spectral Hashing	Dec 1, 2008	graph partitioningSemantic Similarity	—Unverified
An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence	Nov 7, 2006	Semantic SimilaritySemantic Textual Similarity	—Unverified
Measuring Semantic Similarity by Latent Relational Analysis	Aug 10, 2005	Multiple-choiceSemantic Similarity	—Unverified
Using Information Content to Evaluate Semantic Similarity in a Taxonomy	Nov 29, 1995	Semantic SimilaritySemantic Textual 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