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 826–850 of 1564 papers

Title	Date	Tasks	Status	Hype
Sorting through the noise: Testing robustness of information processing in pre-trained language models	Sep 25, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Rethinking Crowd Sourcing for Semantic Similarity	Sep 24, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Towards Universal Dense Retrieval for Open-domain Question Answering	Sep 23, 2021	Open-Domain Question AnsweringQuestion Answering	—Unverified	0
Investigating Entropy for Extractive Document Summarization	Sep 22, 2021	AttributeDocument Summarization	—Unverified	0
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models	Sep 21, 2021	Intent DetectionRetrieval	—Unverified	0
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators	Sep 21, 2021	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Adversarial Training with Contrastive Learning in NLP	Sep 19, 2021	Contrastive LearningLanguage Modeling	—Unverified	0
Contrastive Word Embedding Learning for Neural Machine Translation	Sep 17, 2021	Machine TranslationNMT	—Unverified	0
Transformers Can Compose Skills To Solve Novel Problems Without Finetuning	Sep 17, 2021	Question AnsweringSemantic Similarity	—Unverified	0
A Semantic Indexing Structure for Image Retrieval	Sep 14, 2021	Image RetrievalRetrieval	—Unverified	0
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization	Sep 9, 2021	Abstractive Text SummarizationDecoder	CodeCode Available	1
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain	Sep 7, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
On Length Divergence Bias in Textual Matching Models	Sep 6, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
PR-Net: Preference Reasoning for Personalized Video Highlight Detection	Sep 4, 2021	Highlight DetectionSemantic Similarity	—Unverified	0
Paragraph Similarity Matches for Generating Multiple-choice Test Items	Sep 1, 2021	ManagementMultiple-choice	—Unverified	0
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task	Sep 1, 2021	MRPCParaphrase Identification	—Unverified	0
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification	Aug 30, 2021	Fine-Grained Image Classificationimage-classification	—Unverified	0
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks	Aug 29, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Multiplex Graph Neural Network for Extractive Text Summarization	Aug 29, 2021	Extractive Text SummarizationGraph Neural Network	—Unverified	0
Reinforcement Learning-powered Semantic Communication via Semantic Similarity	Aug 27, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System	Aug 27, 2021	DiversitySemantic Similarity	—Unverified	0
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?	Aug 26, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Multi-Attributed and Structured Text-to-Face Synthesis	Aug 25, 2021	DescriptiveDiversity	—Unverified	0
Semantic-Preserving Adversarial Text Attacks	Aug 23, 2021	Adversarial TextSemantic Similarity	CodeCode Available	1
Czech News Dataset for Semantic Textual Similarity	Aug 19, 2021	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