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

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Showing 1401–1425 of 1564 papers

Title	Date	Tasks	Status
Sinhala Short Sentence Similarity Calculation using Corpus-Based and Knowledge-Based Similarity Measures	Dec 1, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems	Nov 23, 2016	BenchmarkingObject	—Unverified
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM	Nov 17, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
SimDoc: Topic Sequence Alignment based Document Similarity Framework	Nov 15, 2016	ClusteringQuestion Answering	—Unverified
Relating semantic similarity and semantic association to how humans label other people	Nov 1, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures	Nov 1, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Modelling Sentence Pairs with Tree-structured Attentive Encoder	Oct 10, 2016	Paraphrase IdentificationQuestion Selection	CodeCode Available
Are Word Embedding-based Features Useful for Sarcasm Detection?	Oct 4, 2016	Sarcasm DetectionSemantic Similarity	—Unverified
Visual Fashion-Product Search at SK Planet	Sep 26, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Semantic Similarity Strategies for Job Title Classification	Sep 20, 2016	ClassificationGeneral Classification	—Unverified
Detecting Singleton Review Spammers Using Semantic Similarity	Sep 9, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Automatic Visual Theme Discovery from Joint Image and Text Corpora	Sep 7, 2016	ClusteringDescriptive	—Unverified
Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second--Order Vectors	Sep 2, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
A Large-Scale Multilingual Disambiguation of Glosses	Aug 24, 2016	ClusteringNatural Language Understanding	—Unverified
Using Semantic Similarity for Input Topic Identification in Crawling-based Web Application Testing	Aug 23, 2016	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Proceedings of the LexSem+Logics Workshop 2016	Aug 14, 2016	Entity DisambiguationOpen Information Extraction	—Unverified
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents	Aug 5, 2016	Information RetrievalLearning-To-Rank	—Unverified
De-Conflated Semantic Representations	Aug 5, 2016	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Exponential Family Embeddings	Aug 2, 2016	Dimensionality ReductionMovie Recommendation	—Unverified
Measuring Semantic Similarity of Words Using Concept Networks	Aug 1, 2016	Representation LearningSemantic Similarity	CodeCode Available
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings	Aug 1, 2016	General ClassificationRelation	—Unverified
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval	Jul 28, 2016	Deep Hashinggraph construction	—Unverified
Machine Learned Resume-Job Matching Solution	Jul 26, 2016	Semantic SimilaritySemantic Textual Similarity	—Unverified
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder	Jul 26, 2016	DecoderSemantic Similarity	—Unverified
A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet	Jul 19, 2016	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