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 551–600 of 1977 papers

TitleStatusHype
A Simple Model for Distantly Supervised Relation Extraction—0
A Java Framework for Multilingual Definition and Hypernym Extraction—0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
Chinese Relation Classification using Long Short Term Memory Networks—0
Chinese Open Relation Extraction for Knowledge Acquisition—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models—0
A Short Survey of Biomedical Relation Extraction Techniques—0
A Shared Task on Argumentation Mining in Newspaper Editorials—0
Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective—0
Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model—0
Character based String Kernels for Bio-Entity Relation Detection—0
Challenges in Information Extraction from Tables in Biomedical Research Publications: a Dataset Analysis—0
A Sequence Tagging based Framework for Few-Shot Relation Extraction—0
A Hybrid Model of Classification and Generation for Spatial Relation Extraction—0
End-to-end Relation Extraction using Neural Networks and Markov Logic Networks—0
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild—0
Enhancing Knowledge Graph Construction Using Large Language Models—0
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction—0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding—0
A Sequence Model Approach to Relation Extraction in Portuguese—0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets—0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding—0
Chain Based RNN for Relation Classification—0
A Sentence Simplification System for Improving Relation Extraction—0
A hybrid deep-learning approach for complex biochemical named entity recognition—0
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web—0
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises—0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
CDE-IIITH at SemEval-2016 Task 12: Extraction of Temporal Information from Clinical documents using Machine Learning techniques—0
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification—0
A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers—0
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension—0
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework—0
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction—0
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models—0
A Review on Semi-Supervised Relation Extraction—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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