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 1101–1150 of 1564 papers

TitleStatusHype
LICD: A Language-Independent Approach for Aspect Category Detection—0
Like a bilingual baby: The advantage of visually grounding a bilingual language model—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting—0
LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets—0
LineRetriever: Planning-Aware Observation Reduction for Web Agents—0
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity—0
Literal or idiomatic? Identifying the reading of single occurrences of German multiword expressions using word embeddings—0
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach—0
Locality Preserving Sentence Encoding—0
Looking for a Role for Word Embeddings in Eye-Tracking Features Prediction: Does Semantic Similarity Help?—0
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity—0
Machine Learned Resume-Job Matching Solution—0
Machine Translation Evaluation using Bi-directional Entailment—0
Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language Model—0
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity—0
MALA: Cross-Domain Dialogue Generation with Action Learning—0
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders—0
Mapping it differently: A solution to the linking challenges—0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation—0
MAViC: Multimodal Active Learning for Video Captioning—0
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents—0
Measuring Economic Policy Uncertainty Using an Unsupervised Word Embedding-based Method—0
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation—0
Measuring Frame Instance Relatedness—0
Measuring prominence of scientific work in online news as a proxy for impact—0
Measuring Semantic Similarity by Latent Relational Analysis—0
Measuring Semantic Similarity for Bengali Tweets Using WordNet—0
Measuring semantic similarity of clinical trial outcomes using deep pre-trained language representations—0
Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis—0
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs—0
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting—0
Membership Inference Attack against Long-Context Large Language Models—0
Memorizing All for Implicit Discourse Relation Recognition—0
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
Method of the coherence evaluation of Ukrainian text—0
Methodology and Results for the Competition on Semantic Similarity Evaluation and Entailment Recognition for PROPOR 2016—0
MIC: Model-agnostic Integrated Cross-channel Recommenders—0
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation—0
MindLab Neural Network Approach at BioASQ 6B—0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
MITRE: Seven Systems for Semantic Similarity in Tweets—0
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning—0
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity—0
Modeling Empathic Similarity in Personal Narratives—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