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
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
Document-Level Relation Extraction with Relation Correlation EnhancementCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Siamese Representation Learning for Unsupervised Relation ExtractionCode0
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?—0
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)—0
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction—0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models—0
ReOnto: A Neuro-Symbolic Approach for Biomedical Relation ExtractionCode0
Zero-shot information extraction from radiological reports using ChatGPT—0
Evaluating the Robustness to Instructions of Large Language Models—0
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction—0
CARE: Co-Attention Network for Joint Entity and Relation ExtractionCode0
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm—0
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion—0
LASIGE and UNICAGE solution to the NASA LitCoin NLP CompetitionCode0
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction—0
Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction—0
DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs—0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
Similarity-based Memory Enhanced Joint Entity and Relation ExtractionCode0
Parmesan: mathematical concept extraction for educationCode0
Relational Extraction on Wikipedia Tables using Convolutional and Memory NetworksCode0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction—0
Linguistic representations for fewer-shot relation extraction across domains—0
iMETRE: Incorporating Markers of Entity Types for Relation Extraction—0
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsCode0
Pareto Optimal Learning for Estimating Large Language Model Errors—0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction—0
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training—0
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training DataCode0
Enhancing Semantic Correlation between Instances and Relations for Zero-Shot Relation ExtractionCode0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Building a Corpus for Biomedical Relation Extraction of Species Mentions—0
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation NamesCode0
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation ExtractionCode0
Open Set Relation Extraction via Unknown-Aware TrainingCode0
Actively Supervised Clustering for Open Relation Extraction—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction—0
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
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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