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 1026–1050 of 1564 papers

Title	Date	Tasks	Status	Hype
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures	Jun 14, 2020	Multi-class ClassificationSemantic Similarity	CodeCode Available	0
Approche supervis\'ee de calcul de similarit\'e s\'emantique entre paires de phrases (Supervised approach to compute semantic similarity between sentence pairs)	Jun 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data	Jun 1, 2020	ClassificationClustering	—Unverified	0
Multi-Modality Cross Attention Network for Image and Sentence Matching	Jun 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Automatic Generation of Topic Labels	May 29, 2020	DescriptiveInformation Retrieval	CodeCode Available	1
Boosting Few-Shot Learning With Adaptive Margin Loss	May 28, 2020	Few-Shot Image ClassificationFew-Shot Learning	—Unverified	0
Learning Tversky Similarity	May 27, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling	May 13, 2020	Abstractive Text SummarizationDocument Embedding	CodeCode Available	0
Learning to hash with semantic similarity metrics and empirical KL divergence	May 11, 2020	Image RetrievalRetrieval	—Unverified	0
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization	May 7, 2020	Document SummarizationMulti-Document Summarization	CodeCode Available	1
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics	May 6, 2020	Language ModelingLanguage Modelling	CodeCode Available	0
Neural CRF Model for Sentence Alignment in Text Simplification	May 5, 2020	ArticlesSemantic Similarity	CodeCode Available	1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction	May 4, 2020	Language ModelingLanguage Modelling	CodeCode Available	1
Semi-supervised lung nodule retrieval	May 4, 2020	Binary ClassificationContent-Based Image Retrieval	—Unverified	0
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation	May 3, 2020	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies	May 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Urban Dictionary Embeddings for Slang NLP Applications	May 1, 2020	ClusteringSarcasm Detection	—Unverified	0
A French Corpus for Semantic Similarity	May 1, 2020	Information RetrievalMachine Translation	—Unverified	0
Representing Verbs with Visual Argument Vectors	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation	May 1, 2020	RetrievalSemantic Similarity	—Unverified	0
Towards a Gold Standard for Evaluating Danish Word Embeddings	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction	May 1, 2020	ClusteringSemantic Similarity	—Unverified	0
Building Semantic Grams of Human Knowledge	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Multilingual Corpus Creation for Multilingual Semantic Similarity Task	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0

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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