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

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Showing 1251–1300 of 1564 papers

TitleStatusHype
The Corpus Replication Task—0
Improving Language Understanding by Generative Pre-TrainingCode1
Deploying Deep Ranking Models for Search Verticals—0
Semi-Supervised Clustering with Neural Networks—0
GKR: the Graphical Knowledge Representation for semantic parsing—0
Measuring Frame Instance Relatedness—0
THU\_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model—0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing—0
SemEval-2018 Task 10: Capturing Discriminative Attributes—0
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks—0
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models—0
Specialising Word Vectors for Lexical EntailmentCode0
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity—0
Legal Document Retrieval using Document Vector Embeddings and Deep Learning—0
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringCode1
Weight Initialization in Neural Language Models—0
A Rank-Based Similarity Metric for Word Embeddings—0
Semantic Structure-based Unsupervised Deep HashingCode0
SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages—0
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based predictionCode0
An Unsupervised Word Sense Disambiguation System for Under-Resourced LanguagesCode0
Learning Semantic Textual Similarity from ConversationsCode0
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity—0
Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics—0
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness—0
Training a Ranking Function for Open-Domain Question Answering—0
Viewpoint-aware Video Summarization—0
DOCK: Detecting Objects by transferring Common-sense Knowledge—0
Incorporating Word Embeddings into Open Directory Project based Large-scale Classification—0
Identifying Semantic Divergences in Parallel Text without AnnotationsCode0
Neural Network Architecture for Credibility Assessment of Textual Claims—0
Equation Embeddings—0
Near-lossless Binarization of Word EmbeddingsCode0
RUSSE: The First Workshop on Russian Semantic Similarity—0
Enhanced Word Representations for Bridging Anaphora Resolution—0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection—0
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial NetworkCode0
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Calculating the similarity between words and sentences using a lexical database and corpus statisticsCode0
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering—0
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National CorpusCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Comparison of Paragram and GloVe Results for Similarity Benchmarks—0
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval—0
Learning Modality-Invariant Representations for Speech and Images—0
Multimodal Visual Concept Learning with Weakly Supervised TechniquesCode0
SemTagger: A Novel Approach for Semantic Similarity Based Hashtag Recommendation on Twitter—0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology—0
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian—0
Semantic Similarity Analysis for Paraphrase Identification in Arabic Texts—0
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

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