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 1176–1200 of 1564 papers

Title	Date	Tasks	Status
Learning Multilingual Word Embeddings Using Image-Text Data	May 29, 2019	Multilingual Word EmbeddingsSemantic Similarity	—Unverified
MultiWiki: Interlingual Text Passage Alignment in Wikipedia	May 21, 2019	ArticlesSemantic Similarity	—Unverified
Semantic flow in language networks	May 18, 2019	Community DetectionPhilosophy	CodeCode Available
Don't Blame Distributional Semantics if it can't do Entailment	May 17, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs	May 9, 2019	Deep HashingSemantic Similarity	—Unverified
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling	May 4, 2019	AI AgentKnowledge Graphs	CodeCode Available
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts	May 1, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
Detecting Collocations Similarity via Logical-Linguistic Model	May 1, 2019	modelSemantic Similarity	—Unverified
Model Comparison for Semantic Grouping	Apr 30, 2019	modelSemantic Similarity	CodeCode Available
Personalized Ranking in eCommerce Search	Apr 30, 2019	Re-RankingSemantic Similarity	—Unverified
Supervised Online Hashing via Hadamard Codebook Learning	Apr 28, 2019	RetrievalSemantic Similarity	CodeCode Available
Wasserstein-Fisher-Rao Document Distance	Apr 23, 2019	GPUSemantic Similarity	—Unverified
Deep Metric Learning Beyond Binary Supervision	Apr 21, 2019	Image CaptioningImage Retrieval	CodeCode Available
Inpatient2Vec: Medical Representation Learning for Inpatients	Apr 18, 2019	Representation LearningSemantic Similarity	—Unverified
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction	Apr 17, 2019	Decision MakingLEMMA	CodeCode Available
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study	Apr 11, 2019	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Word Similarity Datasets for Thai: Construction and Evaluation	Apr 8, 2019	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
LICD: A Language-Independent Approach for Aspect Category Detection	Apr 7, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning	Apr 4, 2019	ClusteringDeep Hashing	—Unverified
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval	Apr 4, 2019	Cross-Modal RetrievalDeep Hashing	—Unverified
A new approach for measuring semantic similarity of ontology concepts using dynamic programming	Apr 4, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations	Apr 2, 2019	DisentanglementSemantic Similarity	CodeCode Available
Learning semantic sentence representations from visually grounded language without lexical knowledge	Mar 27, 2019	Grounded language learningLearning Semantic Representations	CodeCode Available
Import2vec - Learning Embeddings for Software Libraries	Mar 27, 2019	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving	Mar 26, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified

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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