SOTAVerified

Relation Extraction

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

Papers

Showing 16511700 of 1977 papers

TitleStatusHype
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical SubstitutionCode0
How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive EvaluationCode0
Discourse-Based Sentence SplittingCode0
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation ExtractionCode0
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation ExtractionCode0
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP TasksCode0
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt TuningCode0
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?Code0
Attention-Based Convolutional Neural Network for Semantic Relation ExtractionCode0
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionCode0
Relation Extraction : A SurveyCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
HyperPIE: Hyperparameter Information Extraction from Scientific PublicationsCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information ExtractionCode0
Siamese Representation Learning for Unsupervised Relation ExtractionCode0
The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party DialoguesCode0
Identifying and Explaining Discriminative AttributesCode0
Multilingual Relation Extraction using Compositional Universal SchemaCode0
Silver Syntax Pre-training for Cross-Domain Relation ExtractionCode0
Multimodal Graph-based Transformer Framework for Biomedical Relation ExtractionCode0
Disambiguation of Verbal ShiftersCode0
Similarity-based Memory Enhanced Joint Entity and Relation ExtractionCode0
Simple BERT Models for Relation Extraction and Semantic Role LabelingCode0
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency OptimizationCode0
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical DomainCode0
Improved Relation Extraction with Feature-Rich Compositional Embedding ModelsCode0
Facts That MatterCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approachCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationCode0
Classifying Relations by Ranking with Convolutional Neural NetworksCode0
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome AssociationsCode0
Multi-view Inference for Relation Extraction with Uncertain KnowledgeCode0
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismCode0
Unified Semantic Typing with Meaningful Label InferenceCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise FilteringCode0
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation ExtractionCode0
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation ExtractionCode0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Combining Distant and Direct Supervision for Neural Relation ExtractionCode0
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
A Korean Knowledge Extraction System for Enriching a KBoxCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
Slot Filling for Biomedical Information ExtractionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53Unverified
2KD-Rb-lF167.28Unverified
3SSAN-RoBERTa-large+AdaptationF165.92Unverified
4SAIS-RoBERTa-largeF165.11Unverified
5Eider-RoBERTa-largeF164.79Unverified
6DocuNet-RoBERTa-largeF164.55Unverified
7CGM2IR-RoBERTalargeF163.89Unverified
8SETE-Roberta-largeF163.74Unverified
9ATLOP-RoBERTa-largeF163.4Unverified
10DRE-MIR-BERTbaseF163.15Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6Unverified
2DeepStruct multi-task w/ finetuneF176.8Unverified
3UNiST (LARGE)F175.5Unverified
4RE-MCF175.4Unverified
5GenPT (T5)F175.3Unverified
6RECENT+SpanBERTF175.2Unverified
7SuRE (PEGASUS-large)F175.1Unverified
8EXOBRAINF175Unverified
9Relation ReductionF174.8Unverified
10RoBERTa-large-typed-markerF174.6Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9Unverified
2RIFREF191.3Unverified
3REDNF191Unverified
4SPOTF190.6Unverified
5KLGF190.5Unverified
6RELAF190.4Unverified
7Skeleton-Aware BERTF190.36Unverified
8KnowPromptF190.3Unverified
9LUKEF190.3Unverified
10EPGNNF190.2Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8Unverified
3Dual Pointer NetworkRelation classification F180.5Unverified
4PL-MarkerRE Micro F173Unverified
5ASP+T5-3BRE Micro F172.7Unverified
6GoLLIERE Micro F170.1Unverified
7Ours: cross-sentence ALBRE Micro F169.4Unverified
8MGERE+ Micro F168.2Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2Unverified
10RNN+CNNRelation classification F167.7Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1Unverified
2REBELRE+ Macro F1 76.65Unverified
3ASP+T0-3BRE+ Micro F176.3Unverified
4Table-SequenceRE+ Macro F1 75.4Unverified
5SpERTRE+ Macro F1 72.87Unverified
6DeeperRE+ Macro F1 72.63Unverified
7TANLRE+ Micro F172.6Unverified
8TablERTRE+ Micro F172.6Unverified
9TriMFRE+ Micro F172.35Unverified
10Multi-turn QARE+ Micro F168.9Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9Unverified
2DeeperRE+ Macro F183.74Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03Unverified
7CMANRE+ Macro F181.14Unverified
8Table-SequenceRE+ Macro F180.1Unverified
9CLDR + CLNERRE+ Macro F179.97Unverified
10SpERT (without overlap)RE+ Macro F179.24Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7Unverified
2PFNF193.6Unverified
3SPNF193.4Unverified
4TDEERF193.1Unverified
5RIFREF192.6Unverified
6TPLinkerF191.9Unverified
7HBT (CasRel)F191.8Unverified
8RIN (BERT, K=2)F190.1Unverified
9CGT(UniLM)F183.4Unverified