SOTAVerified

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

Showing 351375 of 1564 papers

TitleStatusHype
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual LearningCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
A Bilingual Generative Transformer for Semantic Sentence EmbeddingCode0
Continual Audio-Visual Sound SeparationCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language AlignmentCode0
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Learning Composition Models for Phrase EmbeddingsCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approachesCode0
Identifying Cognate Sets Across Dictionaries of Related LanguagesCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue SystemsCode0
Decoupling Semantic Similarity from Spatial Alignment for Neural NetworksCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcomeCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31Unverified
2LSTM (Tai et al., 2015)MSE0.28Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27Unverified
4combine-skip (Kiros et al., 2015)MSE0.27Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94Unverified
2BioLinkBERT (base)Pearson Correlation0.93Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85Unverified