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

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Showing 651–700 of 1977 papers

TitleStatusHype
Embedding Methods for Fine Grained Entity Type Classification—0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
Emphasis on Easy Samples for Distantly Supervised Relation Extraction—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction—0
Effects of Human Adversarial and Affable Samples on BERT Generalization—0
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion—0
Effect of Non-linear Deep Architecture in Sequence Labeling—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach—0
Encoding Relation Requirements for Relation Extraction via Joint Inference—0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
CANDiS: Coupled & Attention-Driven Neural Distant Supervision—0
Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations—0
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?—0
Effective Slot Filling Based on Shallow Distant Supervision Methods—0
End-to-End Neural Relation Extraction with Global Optimization—0
Effective Selectional Restrictions for Unsupervised Relation Extraction—0
End-to-end Relation Extraction using Neural Networks and Markov Logic Networks—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
A hierarchical taxonomy for classifying hardness of inference tasks—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
Effectiveness and Efficiency of Open Relation Extraction—0
Bootstrapping Ternary Relation Extractors—0
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension—0
Effective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction—0
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild—0
Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction—0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
Applying UMLS for Distantly Supervised Relation Detection—0
A Graph-Based Method for Unsupervised Knowledge Discovery from Financial Texts—0
Effective Crowd Annotation for Relation Extraction—0
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web—0
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck—0
A Sentence Simplification System for Improving Relation Extraction—0
A hybrid deep-learning approach for complex biochemical named entity recognition—0
Chain Based RNN for Relation Classification—0
Extracting and Visualizing Semantic Relationships from Chinese Biomedical Text—0
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora—0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models—0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction—0
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets—0
Enriched Attention for Robust Relation Extraction—0
Applying Information Extraction to Storybook Question and Answer Generation—0
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All datasetsDocREDTACREDSemEval-2010 Task-8ACE 2005CoNLL04Adverse Drug Events (ADE) CorpusWebNLGChemProtACE 2004NYT11-HRLCDRGDA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53—Unverified
2KD-Rb-lF167.28—Unverified
3SSAN-RoBERTa-large+AdaptationF165.92—Unverified
4SAIS-RoBERTa-largeF165.11—Unverified
5Eider-RoBERTa-largeF164.79—Unverified
6DocuNet-RoBERTa-largeF164.55—Unverified
7CGM2IR-RoBERTalargeF163.89—Unverified
8SETE-Roberta-largeF163.74—Unverified
9ATLOP-RoBERTa-largeF163.4—Unverified
10DRE-MIR-BERTbaseF163.15—Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6—Unverified
2DeepStruct multi-task w/ finetuneF176.8—Unverified
3UNiST (LARGE)F175.5—Unverified
4RE-MCF175.4—Unverified
5GenPT (T5)F175.3—Unverified
6RECENT+SpanBERTF175.2—Unverified
7SuRE (PEGASUS-large)F175.1—Unverified
8EXOBRAINF175—Unverified
9Relation ReductionF174.8—Unverified
10RoBERTa-large-typed-markerF174.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9—Unverified
2RIFREF191.3—Unverified
3REDNF191—Unverified
4SPOTF190.6—Unverified
5KLGF190.5—Unverified
6RELAF190.4—Unverified
7Skeleton-Aware BERTF190.36—Unverified
8KnowPromptF190.3—Unverified
9LUKEF190.3—Unverified
10EPGNNF190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98—Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8—Unverified
3Dual Pointer NetworkRelation classification F180.5—Unverified
4PL-MarkerRE Micro F173—Unverified
5ASP+T5-3BRE Micro F172.7—Unverified
6GoLLIERE Micro F170.1—Unverified
7Ours: cross-sentence ALBRE Micro F169.4—Unverified
8MGERE+ Micro F168.2—Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
10RNN+CNNRelation classification F167.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1—Unverified
2REBELRE+ Macro F1 76.65—Unverified
3ASP+T0-3BRE+ Micro F176.3—Unverified
4Table-SequenceRE+ Macro F1 75.4—Unverified
5SpERTRE+ Macro F1 72.87—Unverified
6DeeperRE+ Macro F1 72.63—Unverified
7TANLRE+ Micro F172.6—Unverified
8TablERTRE+ Micro F172.6—Unverified
9TriMFRE+ Micro F172.35—Unverified
10Multi-turn QARE+ Micro F168.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9—Unverified
2DeeperRE+ Macro F183.74—Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2—Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39—Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2—Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03—Unverified
7CMANRE+ Macro F181.14—Unverified
8Table-SequenceRE+ Macro F180.1—Unverified
9CLDR + CLNERRE+ Macro F179.97—Unverified
10SpERT (without overlap)RE+ Macro F179.24—Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7—Unverified
2PFNF193.6—Unverified
3SPNF193.4—Unverified
4TDEERF193.1—Unverified
5RIFREF192.6—Unverified
6TPLinkerF191.9—Unverified
7HBT (CasRel)F191.8—Unverified
8RIN (BERT, K=2)F190.1—Unverified
9CGT(UniLM)F183.4—Unverified